{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 单只绩效分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "开始读取相生9号私募证券投资基金净值数据\n",
      "原始数据时间区间为：2021-03-05 ~ 2024-10-18\n",
      "本次统计时间区间为：2021-03-05 ~ 2024-10-18\n",
      "html路径为：C:\\Users\\Ouwei\\Desktop\\20210305_20241018_相生9号私募证券投资基金_nav_analysis.html\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "相生9号私募证券投资基金净值分析[D]：2021-03-05 ~ 2024-10-18"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from single_nav_analysis import NavAnalysisConfig, SingleNavAnalysis\n",
    "from pathlib import Path\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "nav_analysis_config = NavAnalysisConfig(\n",
    "    bench_data_path=Path(r\"C:\\Euclid_Jie\\barra\\src\\nav_analysis\\index_data.csv\"),\n",
    "    nav_data_path=Path(r\"C:\\Users\\Ouwei\\Desktop\\相生9号私募证券投资基金.xlsx\"),\n",
    "    # nav_data_path=Path(r\"C:\\Users\\Ouwei\\Desktop\\管理人单页\\SLD035-同温层量化阿尔法1号.xlsx\"),\n",
    "    # nav_data_path=Path(r\"C:\\Euclid_Jie\\barra\\src\\nav_analysis\\FOF\\FOF_Markowitz净值.csv\"),\n",
    "    # begin_date=np.datetime64(\"2021-12-31\"),\n",
    "    # end_date=np.datetime64(\"2024-12-09\"),\n",
    "    open_html=True,\n",
    "    # benchmark=\"SHSE.000905\",\n",
    ")\n",
    "demo = SingleNavAnalysis(nav_analysis_config)\n",
    "demo.analysis()\n",
    "# demo.attraction_analysis(\n",
    "#     barra_rtn_df=pd.read_csv(r\"barra_data\\cne5.csv\"),\n",
    "#     show=True,\n",
    "#     R2=True,\n",
    "# )\n",
    "demo.export_html(save=True)\n",
    "demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dKsNs9lO1w8xkUvHcuSqdNUsr9+/XTXv2aHplpf7PH/6gY4sWaedtt6kzMtLfVQIAgBGScfaswu12dURE6NyMGf4uBwAmHMJ4AAAAABjj3G63cnNzaUmPCSPQ5dK08nLf6PeptbUy9/ma95pMqklOVll6us5mZKgyNVWeoCA/VjzyPEFB2nvzzTpx3XW6bft2LczL0+JjxzTv5EntXr1aB5cvlzeQl4UAABjv5hcUSJJOzps3ft+MCACjGP91AQAAAMAY1NnZqdOnT6u4uFilpaVyu93+LgkYNiavV1NrajSzrEwLXnlFHzl1SoHnfc03xsd3t51PT1d5WpocYWF+qnZ0aY+O1uv33afDy5bpznff1bSaGt2xdasWHzmiLXfeqdLZs/1dIgAAGCYBbreyiook0aIeAPyFMB4AAAAAxgDDMNTQ0KCSkhIVFRWppqZGkmQymRgFj3FrRnm5Vhw4oPSyMoU6HP3WtUVF+drOl6Wnqz062k9Vjg1Vqan60xe+oOtOnNBt27crvrlZDz/3nEpmz9aWdevUEh/v7xIBAMAQm1laqlCHQ21RUapITfV3OQAwIRHGAwAAAMAo5Xa7de7cORUXF6uoqEjt7e0DwneCeIxHEe3tun3bNi3My/Mt6woJUXlGhpw33aS9ISFqjIuTTCY/VjkGmc06vmiRTs6dq9W7d2vFgQOac/q0Zp45o4PXX69dN98sZ2iov6sEAABDZH5hoSTp5Pz5Ei3qAcAvCOMBAAAAYBQZrP282WyW1+uVRPiO8c3k9WrpoUNas3OnQh0OGZKOLFmiY4sXq3bqVJkCA5WTk6PmvDyp53sCV84ZGqptd9yhI4sXa92WLZpz+rRu2LdPOSdOaMfatTq+cCEv2AMAMMYFulzKLC6WJBXMn+/nagBg4iKMBwAAAAA/MgxDjY2NvtHvg7Wf9xI6YgKYVlWlj7z1lqbW1UmSqpOT9c5HPqKaadN82zAOfmi1xMfrhYcf1qySEq3bskXxzc1a/8YbWnrokDbfdZeqaGcLAMCYNev0aYU4nbLExKg6JcXf5QDAhEUYDwAAAAAjjPbzwIfCbDbdtmOHFh85IpMke2iodt52m44sWSKD0dkjonTOHJ3NyNCK3Fytfv99Taup0ef//GedyMnRjttuU3t0NFMCAAAwxvS2qC+cP5/f4wDgR4TxAAAAADACaD8PnMfr1XXHj+v2bdsUbrdLko4vXKhtt98uW2Skn4ubeLyBgdp/ww3Ky8nRbTt26Lpjx7QwL08L8/K615tM8prNw3YzzGZ5TSZ1REUpd9kyvgYAALgGQU6n5pSUSOoJ4wEAfkMYDwAAAADDoG/7+eLiYlVXV0ui/TwgSUl1dbr77bc1vbJSklSfmKh3PvIRVcyY4efK0BkZqTfXr9ehpUt15+bNvmtkNgyZPR7J4xn2GlYcOKDdN9+swytXDvu5AAAYj+aUlCjY5VJLbKxqk5P9XQ4ATGiE8QAAAAAwRAzDUG1trQoKClRYWKi2tjbazwN9BHd16db33tPy3FyZDUOO4GDtuuUWHVyxQt6AAH+Xhz5qp03TXz7/eYXa7TJ7PDJ7vRe/Gcalt/F6ZbrIugCvV5lFRUqurdUd27Zp6ZEjOv2lLykvNNTfTwcAAGPK/IICSbSox9jj9UrMVIXxhjAeAAAAAK5RQ0ODCgoKlJeXJ6vVSvt54HyGofkFBVq3ZYuiOjokSYXz5mnLunVqj4nxc3G4mK6wsBE93+6bbtLCEyd0244dimtp0Yr/+A8lpqdr87p1apgyZURrAQBgLAru6tLs06clSYXZ2X6uBrg8hiG99dZHdOrUXH3sY69rzpxSf5cEDBnCeAAAAAC4Ci0tLSosLFReXp6amppoPw9cwOTGRt39zjvKKCuTJDXHxemdu+/W2Vmz/FwZRiWzWScWLdLJefN08wcfaOX+/UovK9OXfv97HVu8WDtvvZX55AEAuIjMkhIFejxqmjxZ9UlJ/i4HuCy5uct05MhSSdJLL31Cn/jESwTyGDcI4wEAAADgMrW1tfkC+Lq6un4BPCPggf4S6+q0IjdXC48fV4DXK1dgoPbcdJP23XijPIG8HIGLc4WE6L21a2V7+GFN+9WvNL+gQEuOHNH8ggLtvvlm5a5YwdcRAACD8LWoz86mRT3GhKqqZG3Zsk6SFB/fqKamBL300if0yU++pNmzCeQx9vFfCwAAAABcRGdnp06ePKn8/HxVVlYSwAMXYfJ6lVlcrOUHDyq9vNy3vGT2bL17112yxMX5rziMSfakJG146CHlLlumdZs3fzif/OHD2rpunYozMwkaAADoEWK3a1Zpd3hZMH++n6sBLs1mC9UrrzworzdAc+ee1P33v6bXXrtfp07N04svEshjfCCMBwAAAIDzdHV1qaioSPn5+SorK+sXuhPAAwOF2mxafOyYluXmapLVKknymkw6OW+ecpcvV+X06QSmuCYVM2boj//n/3w4n3xrqz754os6m56uLcwnDwCAJCmrqEgBXq/qExPVlJjo73KAi/J6pY0bPy6rdZJiY1u0fv2bCgz06oEHXtOrr6pPIP+iZs8+4+9ygatGGA8AAAAAkpxOp0pKSlRQUKDTp0/L6/X2GwUPYKCE+nqtyM1VzokTCnK7JUm2sDAdWbpUh5YuVXtMjJ8rxLjSM5/8qXnztGrvXq3ct08ZPfPJH128WO8xnzwAYIKbX1goSTrJqHiMAfv23ajTp+coIMCthx56WaGhDklSQMD5gfwnCeQxphHGAwAAAJiw3G63zpw5o/z8fBUVFcnj8dCGHrgEk9erOSUlWn7woDLKynzL65KSdPD661WQnS13UJAfK8R45wwJ0c7bbtORxYt1+7Ztmn/ypJYeOaLsggLtXr1aB5cvl5f55AEAE0yYzaaMs2cl0aIeo195+XTt2LFGknT33e9q6tT6fut7A/lXXjGpqGgugTzGNP4zAQAAADCheL1elZWVqaCgQCdPnpTT6ZTZbJbX65VEAH8pcc3NmlFervaoKFWlpKgrPNzfJV0er1fTKys1r7BQaeXlap48WWUZGTqbnq6WyZNpoX4ZQu12LeppRR9rsUjqbkV/au5c5a5YoQpa0WOEWWNj9epDDyn33LkP55PfulVLDh/WtjvuYD55AMCEMvfUKQV4vaqdMkUt8fH+Lge4oI6OCL366gMyDLNyck5o8eKjg24XEODVgw++qldeecAXyH/qUy9q1iwCeYwthPEAAAAYE1wul2w2m+x2u2w2m2w2m9xut9LT0xVDG2RcgsvlkiRt2bJFhYWF6urq6hfA937EILxepVRXK7OoSJnFxUpoauq3ujE+XlWpqapMSVFlaqqa4uMls9lPxZ7H61VqRYXmFxZq7smTim5v961KamjQvFOnJEnW6GidzcjwhfOdUVH+qnhUim9o8LWiD+75XrKFheno4sU6tGyZ2iZN8m+BmPB655O/7sQJrdmxQ5NbWj6cT/7OO9WQlOSXugLcbiU0NmpKXZ2m1NUpqa5OZq9XRXPnqiA7W+3R0X6pCwAwPs0vKJAkFTIqHqOY12vSa6/dp46OKCUkNOiee96+6Hsnu0fIv6pXX+0O5F94gUAeYw9hPAAAAEaUYRhyOp2+QL1vuN573263q7OzU52dnbLZbOrq6pLH47ngMZOTk7VgwQLNmzdP0bywPSG5XC5ZLBbfzWq1ymKxqKWlRRaLRQ6HQzk5OTpx4oTcPfNaE8BfWKDLpYyzZ5VZVKQ5JSWK7Oz0rfOYzapKSVFkR4cmt7QooalJCU1NWnTsmCTJHhqqqpSU7ltqqqqmTZMzNHTkivd6Na2qStmHDunWXbsU3dbmW9UVEqKirCydnj1bk1talH72rFIrKxXT1qZFx49r0fHjkqSGhASdzcjQ2YwMnUtLkzMkZOTqHyVMXq9mnz6t5QcPamZPu1NJqk9M1MEVK5S/YIHcwcF+rBA4j9ms44sW6eT588k//bSOLlnSPZ98RMSwnT7UbldSXZ2m9oTuU+rqlNDYqIBBftdMr6zU7Vu3qjwtTfk5OTo1d666wsKGrTYAwPgX3tGhtPJySYTxGN3ef/8WlZVlKCjIqYceekXBwa5L7hMYOFgg/4JmzTp7yX2B0YAwHgAAYBwwDEMul0tdXV39bg6HY0DLbVOftxybznv78bWuMwxDXV1dA8L13mDdbrfL4XAMGoKaTKZ+x7mSVuE1NTWqra3Vli1blJKSogULFmju3LmKYnTruOF0OvuF7L233rC9q6ur3/Zms7nf15G5Z6Q2AfyFhXd0aM7p08osKtLMM2cU1POmBak7xD49e7ZKMjN1etYsOXpCo/DOTqVUVSmlslKplZVKrqlRWFeXZpeWanZpqSTJkNSQmKjK1NTuEfSpqWqJixva1tGGoWnV1ZpfWKh5hYWKOS+AL87MVOH8+To7c6Y8feaR3nPzzQp0OjW9okIZZWVKP3tWU2trldjYqMTGRl1/8KC8JpOqUlJ8o+arUlLG9VzUIXa7Fh0/rmW5uYprbZXU3Yq+ODNTB1es0Lm0NNp+Y1TrnU/+6OLFWts7n/zhw8rOzx+a+eQNQzEWi2+0e+9tktU66Ob20FDVTp2q+ilTVDdlioKdTmXn52tGRYXSy8uVXl6uu99+W6dnz1b+ggU6PWeO3EFBV18fAGBCmnfqlMyGoerkZFni4vxdDjCo06dnavfumyVJH/3oJiUkNF1ijw8NDOQ/RSCPMWP8voIAAAAwhhiGIbfbPSBM73uz2+2+gL035O79fLDQ3Z/6BuuXG35eaQA/2P6SVFVVpaqqKr377ruaPn26srOzNW/ePEUM42g4XDuHwzEgaO8N261W6yXD9vMRul+eyU1NvvbzqZWV6huxWmJiVJKZqaLMTJ2bMWPQ8MoWEaGSzEyVZGZKkswejxLr65VaWamUqiqlVlYq1mJRUkODkhoatPTIEUlSZ3i4b+R8ZWqqapKT5brSUdaGoeSaGl8A3zcIcwQHq2HlSu2bNk2n09PluUiw5Q4O1tlZs3R21ixJUpjNprSyMmWcPav0sjJNbmnR9MpKTa+s1Opdu+QMCtK5GTO6w/mMDNUnJo6etvzXYHJjo1bk5mrh8eO+VvT20FBfK3prbKyfKwSujKV3Pvnyct25ebOm1tX55pPfescd3T+3LvHGErPbrYSmpg9D99paJdXXK+y830m9WidNUl1P6N57a4uJGXCew8uWKcZiUXZBgRbk5SmpoUFzi4o0t6hIjuBgnZo7V/k5OSpLS5MREDBkzwkAYPzytajPzvZzJcDgrNZobdhwnyRp6dLDyskpuOJj9Abyr7zyoIqLs/Tii5/UJz/5IoE8Rj3CeAAAgKvk8XjkdDrlcrnkdDoH3L/Qur5heu9IcafTedHw0Nwn6BkLIeO1ButDpbKyUhUVFXrnnXeUlpam7OxszZ07V+Hh4f4ubUJzu90qLCxUcXGxmpubZbVa5XA4+m3Tdz73wYyF74PRyOT1KqWqyhfAxzc391tfM3WqL4CvnzLlikdAewMCVJecrLrkZB1asUKSFNne3j1yvmcEfXJNjSJsNmWWlCizpKR7P5NJdVOm9Jt73jpp0sDzG4am1tb6AvhYi8W3yhEcrOLMTJ2cP19nZ8/W/CVLVJKXd8VfK/bwcJ2aP1+netp7xrS2+kbNZ5w9qwibrd/I/87wcJWlp/vmnLeMpdDa69Xs0lItP3hQs858OOdiQ0JCdyv6nJwrf5MEMMpUpKXpj1/8ohb2mU/+U4PMJx/S1dVvbvcpdXVKbGgYtM28x2xWQ2Ki6qZM8Y14r0tK8nUNuRzWSZP0wapV+mDVKiXW12tBfr6y8/M1yWrVdSdO6LoTJ9QREaHC7GzlLVigmmnT6EoBABhUZFubZpw7J0kqnDfPz9UAA3k8Zr3yygOy28M1dWqN1q3bfNXHCgz06sEHX+kXyH/qUy9q5kwCeYxehPEAAGBCMQxDDodDHR0dvpvD4bhoiN4blrtcLk2fPl0//elPLxme9+o7QrxvDVcaVBM8Xp2+z/O5c+dUXl6ut99+W+np6crOzlZWVpbCmKN1xLS2turw4cM6cuSIHA6HTCYTI9tHQJDTqYwzZ5RZXKw5JSWKsNl86zxms8rS01XcM7q9LSZmyM/fERWlonnzVNTzwmCA260ptbW+cD61slLR7e1Krq1Vcm2tlufmSpLaIyO7W9unpKghMVFp585pXmGhr3W6JDmDgnwBfOmsWb7WzuYhHKlujY3VsdhYHVu8WPJ6ldjQ4Avn08rLFWGzKbuwUNmFhZKkltjYD8P59HTZR2FXjpCuLl3X04p+ckuLpO7pBHpb0ZenpxP6YVwx+s4nv2ePVu7f75tPvjwtTbGtrf3e3NNXV0jIgNHujQkJQzpdRUNSknYkJWnHmjVKrarSgvx8zS8oUGRnp1YcPKgVBw+qJTZW+QsWKD8nR83x8UN2bgDA2Dfv5EmZJFWmpKht0iR/lwMMsG3bWlVVpSokpEsPPviKgoI813S88wP57jnkCeQxehHGAwCAccHj8aizs7NfyN7e3u6739bWpvb2dtlsNnk8A//ov5zQ3Gw2a/r06ZcdxA92DPhP73UwDENlZWU6e/asNm3apIyMDF8wHxoa6ucqxx+v16vS0lLl5ubqzJkz/QJ4vjeGT0RHh+YUFyuzuFgZZ8/2m//dHhqq07NnqzgzU6WzZsk5wl/3nsBAVaemqjo1VVq5UpIUbbV2t7bvCeen1NUpqqND806d0rxTp/rt7wwKUsmcOTo5f75Oz5ol90iO3Dab1TBlihqmTNGBlStldrs1rbra19I+papKca2timtt1ZKjRyVJtVOm+FraV0yfPqwjzc0ej8I7OxXZ2amIjg5FdnYqsqNDER0diui939mp2NZWXyv6rpAQXyt65hfFeOcMCdHOtWt1dMkS33zyGWVlvvWWmBjfaPfanuB90C4dw8VsVuX06aqcPl2b77xTGWfOaEF+vrKKihTX2qrVu3dr9e7dqpk6VfkLFqgwO1vt0dEjUxsAYNSa3/OmUFrUYzQ6eTJLBw50/9/38Y+/rrg4y5Acd/BA/gXNnFl26Z2BEUYYDwAYd5xOpyQpmLaqY95go9h7A/bOzk61tbWpra1NnZ2dA+aTlj4cGXk5wTmh+cTSNww+e/aszpw5o02bNmnmzJnKzs5WZmbmkI6snYg6Ozt17Ngx5ebmqr293fdmF77PholhKL6xUZk9AXxKVVW/+d9bJ01ScWamijMzVTFjhryjbA7itpgYFcbE+F5ADHS5lFxT4wvnExsaVDt1ancAP3v2qGmd7g0MVOWMGaqcMUO7br1VwQ6Hpp87p4yelvZJDQ2aWlenqXV1umHfPnnMZlWmpvrC+erk5EvOB212u7uD9D4Be7+PfYL2cLv9smtvjI/XwRUrlJeTI1dIyLU+FcCY0juf/IHKSk2trVVjQoLqkpLUNYqmsfEGBKh0zhyVzpmjIKdTmcXFWpCXp5lnzvg6idyxdavK09KUn5OjU3PnqotuPwAw4URbrZpeWSlDtKjH6NPcHKs33lgvSbrhhn3Kyioe0uP3BvIvv/yQSkoy9cILnyKQx6hEGA8AGNM8Ho8aGhpUXV2t6upqVVZWqrln/tuAgACFh4crMjJSUVFRioyMVERExICPERERCg0NHTAqGsPP6/XKarWqtbVVLS0tam1tVWtrq6xW6wVHsfeOYL+c8Jw217gcvV9HvSO4T58+LbPZrNmzZyssLExOp1NBPa2vcXGGYaiqqkq5ubk6efJkv+9TQvjhM7O0VOs2b1ZCU1O/5dXJyd0BfFaWGhITx1TbcXdQkCpmzFDFjBn+LuWKOENCfOGZ1N2hIL3PfPOTrFalnTuntHPndOt776krJETneh6n2ePxBey94XpkR4fCBnmz2cV4TSZ1RkSoMyJCHZGR3fcjI9XR52N7dLQaExLG1NcEMByqUlNVlZrq7zIuyRUcrIIFC1SwYIHCOjs1/+RJZefna0ZFhdLLy5VeXq67335bp2fPVv6CBTo9Z45v2g4AwPjWOyr+3IwZ6qBbCkYRlytQr7zyoByOUE2ffk633bZjWM4TGOjVQw+93C+Q//SnX1BGBoE8Rg/CeADAmGEYhlpbW33Be1VVlerq6nxhrdls7he+ejwetbe3q729XbW1tRcdJW02mxUWFjYguD8/tI+MjFRYWBgjZq+Ay+XqF7a3tLSopaVFzc3NamtrG9AG/lIhOyPYMZzOD+YXLFigX/ziF74R87Nnz6brxiCcTqfy8vKUm5urxsbGAT+PMTyCu7p0x9atvnbo7oCAfvO/07rY/zojI30BmgxDsS0tvvnm08vKFG63K7OkRJklJRc9jsdsvmTA3vvRHh4ug79TgHHLHhGhw8uW6fCyZYqxWJSdn68F+flKamjQ3KIizS0qkiM4WKfmzlV+To7K0tIu2YEDADB2zettUT9/vp8rAfrbvPlO1dVNVXh4px544DUFBAzfawTdgfwrevnlB1VSkqnnnyeQx+hCGA8AGLU6Ozv7Be/V1dVyOBySBgbv0qVHQV9svdfrVWdnpzo7O1VfX3/R0dcmk0mhoaGKiIhQVFSUYmJitHfvXiUlJSkxMVFxcXETKqw3DEN2u71f2N7a2qrm5ma1tLTIZrP5tu19Xi90LQjvMJr0fu97PB4VFxerqKhIQUFBWr9+vebzQockqbGxUYcOHdLx48fl6pl/WuJ7eSSknzmje998U5OsVknSgRUr9N6tt474/O+4AiaTWidP1pHJk3Vk6VLJ69WUujplnD2r5JoaOYODBw/YIyNlDw2VJtDfFgAuj3XSJH1w00364KablFhfrwX5+crOz9ckq1XXnTih606cUFtUlHKXL9eRpUtpYw8A48yk1lalVFfLazLpFC3qMYqcOLFAR44skWTo/vs3KDq6fdjPGRjoIZDHqEUYDwAYFVwul2pra33he0VFhdrbu/9Qu5rg/VpdbPR1b/jcG0Dn5ORo3759crvdvnrj4+M1ZcoUJSYmKjExUUlJSYqKihqzrfC9Xq/a2toGjHBvbm5Wa2trvxDuYqPbGdWOsar369blcunVV19VTU2Nbrvttgn1xpteHo9HRUVFOnjwoCorK31vXMLICHY4dPu2bVp6+LAkqSU2Vm+uX69zaWn+LQxXzmxWXXKy6pKT/V0JgHGgISlJO5KStGPNGqVWVWlBXp7mFxYqur1da3fs0M27d+v4okU6cP31ao2L83e5AIAh0NuivjwtTZ2RkX6uBujW0JCgt966R5K0evUuzZx5dsTO3RvIv/TSQzp9ek5PIP+8MjLKR6wGYDCE8QCAEef1etXY2NhvnvempiYZhuELq/sGO2NhhGXfGr1erxoaGtTY2Cjpw8cSHBzsC+Z7R9EnJiYqzM8jVAzDUFdXl9ra2tTW1iar1eq7b7FYZLFY1N7e3u8xXixwHwvXC7hW+/btU21trR588EG/fw+PlLa2Nh05ckSHDx+WzWYb9Oc1hldaWZnufeMNxVoskqTcZcu0fe1auUJC/FsYAGD0MJtVOX26KqdP1+Y771R2YaFW7tunKfX1Wp6bq6WHDqkoK0v7V65U1fTp/q4WAHAN5hcUSJIKs7P9XAnQzeEI0ssvPyiXK1gZGWe0evXuEa8hMNCjT3zi5T6B/KcJ5OF3hPEAgGFlGIYsFotqamp8wXtdXV2/UeR9w9vxFOqc/1icTqeqqqpUU1PT7zGHh4drypQp/QL6hIQEBQUFDUkNDoejX8B+ftDe0dHhux69LjV3O4E7IJWXl+vpp5/Wpz71KU2ZMsXf5QwLwzBUVlam3NxclfTMad37c2E8/bwe7YKcTq3dvl3Lc3MlSa2TJunN9etVnp7u58oAAKOZNzBQeQsXKi8nR+llZVq5b59ml5Zq3qlTmnfqlCpTUrR/5UoVzZ0rYwJ2+wGAsSyuuVlT6+q6W9RnZfm7HECGIb311j1qakpQVFSb7rtvg8xm/7xuQCCP0YYwHgAwZLxer5qamlRbW6u6ujpVV1ervr5eTqdTkn/azY9G5z9mm82ms2fPqry8vN+6mJiYfiF9UlLSgPno+45o7zuq3Wq1+ka0X2nQPliNAAYyDEPt7e3605/+pPXr12vBggX+LmnI2O12HT9+XLm5ubJYLLSi96Pp585p/euvK661VZJ0eOlSbbv9djkZDQ8AuFwmk8oyMlSWkaGEhgZdv3+/cvLylFpVpdRXXlHrpEk6cP31OrZoEd1WAGCM6B0VfzYjQ/aICD9XA0iHDy9Rfn6OTCavHnjgVUVG2vxaz2CB/MMPP6/09HK/1oWJiTAeAHBVXC6X6uvrVVdXp9raWtXU1KixsVEej0cSwfvVOP/56Q3WT58+7VtnNpsVFxcnj8ejjo6OfnO1964f7FgXOw+Aq2cYhjwejzZs2KCamhrdfvvtY3oe+ZqaGh06dEj5+fm+n+cSo+D9IdDp1G07d2rFgQMySbJGR+vN9et1duZMf5cGABjDGhMTtWn9eu287TYty83VskOHFGux6K7Nm3XL++/ryJIlyl2xQu3R0f4uFQBwEb3zxdOiHqNBTc0Ubd58pyRp7drtmjGj0s8VdeueQ/5lvfxydyD/3HOf1sMPP6f09HP+Lg0TDGE8AOCS7Ha7L3TvHfHe2trqC2cI3ofP+SPYe7sPXAjPO+A/Bw4cUG1trR566CGFh4f7u5zL5nK5VFhYqNzcXNXW1g76Mx0jK7WiQutff12TW1okSUcXL9bWO+6QIzTUz5UBAMaLzshIvb9mjfauWqWFJ05o5f79mtzSolUffKCV+/erIDtb+1euVP3Uqf4uFQBwnviGBiU1NMhjNquIFvXwM7s9RC+//JA8nkBlZhbphhv2+7ukfoKCugP5l176hEpLZ+u55x4mkMeII4wHAPj0tlzuDd17R7y3t7dLkkwmk2+7vghtAKBbRUWFbx75qaP8xeuWlhYdPnxYR48elcPh8P2M52e6/wS6XLp1506t3L9fJkltUVF68957dWb2bH+XBgAYp9zBwTqybJmOLFmiOSUlWrl/v9LOndPCvDwtzMvT2fR07V+5UqWzZkljuPsPAIwnvaPiS2fNUldYmJ+rwURmGNIbb6yXxRKrSZNa9bGPvaGelxZGlaAgjz7xiZd8gXzvHPIE8hgphPEAMEEZhqHm5mZf6N576+rqkjR48E6bYgC4OMMw1NHRoT//+c/66Ec/qoULF/q7pH68Xq9Onz6t3NxcnT17tt9c8PyM969plZX62OuvK765WZJ07LrrtGXdOjl4cQ0AMBLMZpVkZakkK0tTq6u1cv9+zS8sVEZZmTLKytQYH6/9K1cqLydHnqAgf1cLABOXYXzYon7+fD8Xg4lu//6VKiqaq4AAtx566BWFhXX5u6QLGiyQf/jh55WWRiCP4UcYDwATgNvtVmNjo2/Ee01Njerr6+V2uyUN3maeUAYArk7vPPKvv/66amtrdfvttysgIMCvNXV0dOjYsWM6dOiQ2tvbL9jpBCMvwOXSLe+/rxv27ZPZMNQeGalN996r03Pm+Ls0AMAEVTttmjY88IB2rF2rFQcPavGRI0poatK9mzZpzc6dOrRsmQ4vWyZbRIS/SwWACSexvl4JTU1yBwSoODPT3+VgAquoSNW2bWslSXfeuUXJybV+rujSzg/ku+eQJ5DH8COMB4BxxuFwqK6url+b+ebmZl/YPpLzu09qadHiY8eUfvasTIYhw2SS12yWYTL1u52/7HK2Mfp87j1vmTsgQJ2RkWqPilJ7z8eOqCh5Avm1B2BkHTx4UDU1NfrEJz6hiBF+wdowDFVUVOjQoUM6deqUDMNgFPwok1xdrfWvv67ExkZJ0omcHG2+6y5aTQIARgXrpEnaum6ddq1ercVHj2rFgQOKaWvTre+/r1V79+rEwoU6sHKlmuPj/V3qsAru6tKs0lLNKSlRmN2ujsjID29RUf0+dwUH+7tcAONcds+o+NOzZ8sZGurnajBRdXaG65VXHpBhmJWdna+lSw/7u6TLdn4g//e/P6xbb31fK1YcUGAg0/ZheJBKAMAY1tHR4Qvd6+rqVF1dLavV6ls/ksF7rwC3W1lFRVp85IgyysqG9VxXyhYW1h3M9wnozw/s2yMjabsIYEhVVVXp6aef1ic/+UlNmzZt2M/ncDiUl5en3NxcNTU1Dfq7AP4V4Hbr5l27tGrvXpkNQx0REXrrox9VcVaWv0sDAGAAR2io9t9wgw6uWKG5J09q5f79mlZTo6VHjmjpkSMqnjNH+1eu1Lm0NI3KiWKvQlRbmzKLi5VZVKT0sjIFXObfUo7g4H7hfGff4L7v8ogIef3cOQnAGGQYml9QIIkW9fAfr9ekDRs+rvb2aMXHN+qjH9005n799wbyL7/8kE6fnqNt227X0aOLdOedWzR7dqm/y8M4RBgPAGOAYRiyWCy+0L13xLvNZpM0+Pzu0vAH733FNzRo8dGjWnjihMLt9u56JJ2ZOVP5OTmyh4bKZBgyG4ZMhiGT1zvo55ezje/zC2wT6HYrsqNDUe3tvo+BHo/C7XaF2+1Kami46GOxhYX5Avu+If35AT6hPYDLYRiGOjs79cwzz+ijH/2orrvuumE5T0NDgw4dOqTjx4/7piGRRvZ3AS5tSk2NPvb6677fRfnZ2Xr37rtlDw/3c2UAAFycNyBAhQsWqDA7W9PPndPK/fu7A+uSEmWWlKhm6lQdXrpU59LS1BIXN7aCecNQYkODMouKlFlcrGk1Nf1WN02erOLMTLVMnqyIjg5FDnILdrkU4nQqpKVFk1taLnnKzvDwSwb3LbGx/N8JwGdqba3iWlvlCgxUCdNawU92775JZ87MUlCQUw899IpCQlz+LumqBAV59KlPvaC8vBxt23a7mpvj9dxzD2vOnGKtW7dFkye3+rtEjCOE8QAwyni9XjU1NfUb7V5fXy+n0ylpdM3vHuh0an5hoRYfParplZW+5W1RUTq2aJGOLVoka2ysX2rrxzAUarcrqr1dUb0hfXt7v7C+99Y3tO9tG3wh9tDQ7vb3M2bIk56uwsxMeWmFD2AQvS3i33jjDVVXV+vOO+8cknnkPR6PTp06pYMHD6qqqkomk4kW9KOU2e3WzXv26Kbdu2U2DHWGh+vte+7RqXnz/F0aAABXxmRSRVqaKtLSFNfUpJUHDmjh8eNKrq3VvZs2SeoOmitTU1WVmqrK1FTVJCfLPcpCZZPHo+kVFcrqGQEfa7H41hmSqlJSVJyVpaLMTDUnJFzyeEEOhy+YjzovqD8/wDcbhiJsNkXYbBd9s7g9NFRHlixR7vLlao+JGYJHDWAs6x0VXzJnjlwhIX6uBhPRmTPpev/9WyRJ99zzthITL/7a6WhnNkvXXZenrKwi7d59sw4cuF4lJZk6c2amVq48oJtu2j1m32yA0YXEAAD8xOv1ymKxqKWlRc3NzWpoaFBNTY0aGxvl8Xgk+afN/OWYUlOjxUePakF+vkIdDkmS12RSyZw5Orp4sUpnzZIxmlrumUzqCg9XV3i4GpOSLrxdb2h/XmAf1dHx4f2eAD/I7VZYV5fCurqkxkbdd/iw7oiI0LHFi3V4yRK1TZo0Yg8PwNhy+PBh1dXV6ROf+IQiIyOv6hhWq1VHjhzR4cOHZbfbL9ghBaNDUl2dPrZxo6bU10uSCufN0zsf+YhsERF+rgwAgGvTEh+vt++5RztvvVVLjxzRrNOnlVxTowibTVnFxcoqLpYkecxm1U6d6gvnK1NT1emH/5mCHA7NPHNGWUVFmn36tK+rmyS5AwJ0NiNDxVlZKp4zR51RUVd0bFdIiFpDQtQ6efLFN/R6FW63Dzq6vm9oH93WprCuLq364AOt3L9fJ+fN04GVK1UzAtMeARiFDEPze+aLL8zO9nMxmIja2qL02mv3SzJp8eIjWrgwz98lDZnQUKfuuGO7Fi8+ps2b16m0dLb27l2lEydydPvt27VgQf6YaviD0YcwHgCGUW/g3tgzwnrbtm1qaWlRU1OT2tra+oUmozV47xXS1aXs/HwtPnpUybW1vuWtkybp6OLFOn7ddeqIjvZjhUOgb2ifmHjh7QxDoV1dimpvV3Rnp5Z2dSn5nXcU3d6um/bs0Y179+r07Nk6tGyZzsyc2f02SwDoo7q62jePfEpKymXtYxiGzp49q9zcXJWUlPQbBU8IPzqZPR6t2rtXN+/apQCvV7awML39kY/oJC+eAQDGGXtEhPbcfLP23HyzAtxuTa2tVWplpVIqK5VaWamojg6lVFcrpbpa1x84IEmyxMSoIydHIVFRqkhJUX1S0rDMox7R3t7dSr+oSBlnzyqw583vUvcUZSVz5qg4M1NnZs4cmZGmZrNsERGyRUSo4SJvFjd5vZpTUqLr9+9X2rlzWlBQoAUFBapITdWBlStVlJUlg/81gQljWnW1JlmtcgQH6/Ts2f4uBxOMx2PWq6/eL5stQlOm1Oquu971d0nDIj6+WQ8//LxKSuZo8+Z1am2N04YN9+nQoaW66653lZxc5+8SMUYRxgPANeo7wr13lHtLS4saGxt9gbvZbFZOTo6OHTvWbx7f848z6hiGUiortfjoUc0vLFSwq7stjzsgQEVZWTq6ZInK0tImXthsMqkrLExdYWFqNpsVlZOj17KyNPvUKS09dEgZZWW+eRNbYmN1ZOlSHbvuOtkZAQmgh2EYstls+stf/qKPfOQjWrx48QW3tdvtOnbsmHJzc2W1WhkFP0Yk1tdr/euv+97AdiorS2/fc486r7IbAgAAY4UnMFBVPS3qJUmGoRiLRak9wXxqZaWS6us1yWrVpD171Pu2RFdgoKqnTfONnK9KTZU9PPzKCzAMxTc1+eZ/T6mqUt/BbC2xsSrOzFRxVpYqUlNHV1e3PgyzuXuUflaWptTW6vr9+5VdUKDplZWaXlmp1kmTlLt8uY4tXixHaKi/y71sJo9HaeXlmnX6tNxBQSpPS1NlSoo8o2waA2C06W1RX5yZOeqm/cD4t337raqomKGQkC49+OArCgryXHqnMcpkkjIzS5SRcUYHDqzU7t03qbJyuv7why9qyZKjWrNmpyIibP4u87LYbKEqK0vXfff5uxIQxgPAZfB6vbJarb6gvTd07x3h3jdIH2yEe9/jjAVhNpsWnjihRUeP9ps3vTE+XkeXLNGJnByC5fN4AwJ0at48nZo3T5MbG7X08GFdd/y44lpbdfu2bbp1504Vzp+vQ8uWqTolRfQ2AtA7j/ymTZtUXV2tu+66S4GBH/55Xl1drUOHDqmgoMA3fUnvfhhdzB6PkurrlVJVpWlVVUqpqtLklhZJ3XO9vnP33SpYsICf/QCAiclkkjU2VtbYWBXk5EjqbhefWlurpU6nAg8dUkplpcK6upR27pzSzp3z7do0ebIvnK9MTVVTfPygbwY3eb1Kqaz0zf/e+3u4V3Vysm/+98bExDH3O7lu6lS9ft992n777Vp26JCWHjqkWItF67Zu1S3vv69jixbp4IoVssTF+bvUQQW6XJpVVqZF77+v2w8cULjtwxBj9a5dcgcEqColReVpaSpPT1fVtGmE80BfXu+HLernz/dzMZhocnOn6IMPVkiS1q9/Q5Mnt/q5opERFOTRTTftVU7OCW3fvlb5+Tk6cmSJCgvn6dZb39fSpYcUEDD6Xp/p6gpRUVGmCgvn68yZmfJ6A/SP/1isBQv8XdnERhgPAD0Mw1BnZ6eamprU2Nio5ubmcR24D+D1Kr28XIuOHtXcU6d8rftcgYEqyM7W0cWLu0c2jLEXLfyhOSFBW+66Sztvu03ZBQVaeuiQkmtrtTAvTwvz8lQ7ZYoOL1um/AUL5AoO9ne5AEaBY8eOqa6uTvfff7/OnTun3Nxc1dXVXfT3DfzEMBRttXa32u0J36fW1ipokM43p7Ky9M5HPqKOK5xzFgCA8c4VEqLyjAxF5+QoLytLXrdb8U1NvpHzKVVVSmhqUnxzs+Kbm7Xo+HFJ3W9yq0pJ8YXzwU6nsoqLNae4WBF9Al6P2ayy9PTukeWZmWof61Oq9eiIitJ7a9Zoz003KScvTysOHFBiY6OuP3hQy3NzVZyZqQMrV6pi+nS//+8eYrdrzunTyjp1SrNKS32d9qQPpwcwe71KLytTVEfHh2/E6AnnK1NTdS4tTWVpaapOSZEnkJexMXGlVlYqur1dXSEhOjNrlr/LwThmGJLLFSSbLUx2e7g6OqL1+uuLJEnXX39A8+YV+bnCkRcT067779+opUsP691371Jd3VS9++5dOnJkse68c7MyMsr9XaKcziCVlMxRQcF8nT49Wx7Ph78zk5Lq1NzM71B/4woAmHAMw5DFYvGF7k1NTWpoaFBjY6OcTqdvu3EZuA8isr1d1x0/rkVHjyqu9cN3NtZMnaqjixerYMGCMdXybjRxBQfr2OLFOrZokZKrq7Xs0CHNLyzU1Lo6fXTTJt2+datOLFyow8uWqSkhwd/lAvAjwzBUW1urX/3qV/2Wj6ffN2NVkMOh5JoapVRX+0a9R3V0DNiuNxyoTklR1bRpqp42TV1X01oXAICJyGxWU2KimhITdWzJEkndHdtSqqp8c8+nVFUprKtLs0tLNbu0dMAhukJCfPO/l86aJec4/j/WHRSko0uW6OjixZp55oyu379fs86c0dyiIs0tKlJ1crIOXn+9CufPl3cE2/BHtLcrq7hYWadOKb2sTAF9/pa1Rker+aabtDchQeV9pwcwDMU1NyutvNx3i+roUHp5udLLy3WLugcJVKWkqDw9XeVpaaqeNo1wHhNKds+o+KKsLL72cdm8XqmrK8wXrA/+MUw2W7jvo80W3i/I7ZWSUqW1a7f54VGMHjNmVOqLX/yjjh5drB071qihIUl/+9s/at68Qt1xxzZNmmQd0XpcrgCVls5SQUG2SkrmyOX6cMBXfHyjsrMLNX9+gRISmrVoEX3q/Y2f3ADGLbfb7Zu7vTd4b2hoUEtLi6/dr8lkkslkGjTsGM8BiMnr1azSUi0+ckRzSkpk7ml53BUSovwFC3R08WLVJSf7ucpxxGRSTUqK3khJ0dZ163Td8eNaeuiQ4lpbtSI3Vytyc1WWlqbDy5apKCtrRF8sATB60H5+FPB6Fd/UpJSqKl/4ntjQ4Ps92ctjNqs+Kak7eO8J31smT/b7CDQAAMYTe3i4Ts+Zo9Nz5kj6cFqY3nA+tbJShsnUHcBnZencjBkT738pk0lnZs3SmVmzFN/QoOsPHFBOXp6m1dTovg0btHbbNh1avlyHlywZtjcJxra0KOvUKWUVFSm1slJ9/xpqjI9X0dy5OpWVpfqUFOUsXKhzeXky+r7eYjKpJT5eLfHxOrp0qWQYmtzcrLSyMl84H9nZ6Qvnpe5wvjI1tbutfU847yWgxDhl8no19+RJSbSoR3cAW109TZ2dERcM1nvDdbs9TNLV/Y9qNnsUHm5TeLhds2a5dMMNryowcPy+Vn65zGZDS5ce0bx5hXr//Vt16NBSnTw5XyUlc7Rq1Qe68cYPFBQ0sGveUPF4zDpzJkOFhfNVVJQlh+PDNx7GxrZo/vxCZWcXKCmpgZcnRhn+SgEw5jkcjn6j3BsbG1VfX6+2tjZfsGE22Mcs+wABAABJREFUm31z8/Y12LLxLMpq1eKjR7Xo2DHFtP3/7N13eBRVFwbwdzY9JIGEEiD0EggJNfQiXZqAdAQERBGlI6CCqCiiH1VBmgIioiggRQVEkd5JoYUWSoDQS4AEElJ25/vjsNmEBEhCktny/p5nnt1svZu7szt7zz3nRidffql4cYQGBuJEpUosm57D4lxdsa9+feyrWxdlzp9HraAg+IaHJw8sxLi5IbRGDYQEBiImb16tm0tEZNVcHz5Mznb3uXIFPleuwDk+Ps3t7nt4mLLeixXDtSJFkMR1TImIiHKVwc4O14oWxbWiRXGwTh2tm2N2bhcqhPUdOmBr8+YIDA5GraAgeMTEoPmWLXhpxw4cqVYN++vWxZ0CBV7siVQV3tevw+/UKVQ8eRLeN2+muvqyjw9OVayIU35+qZ5Ll9GogKLgToECuFOgAEJq1QJUFQVu30apCxdQMkVwvkxEBMpERACQ4PylEiWSy9pfLVqUwXmyGiUvXoT7gweIc3bG+TJltG4OaURVgePHK2Hz5pa4fz9fpu7r6BgPV9dYuLjEpTg1npeA+5Onjo4JUBQZU69SpQqOHo2BFeetZZqr6yO0bfs3atQIwaZNrXHhQmls394Ehw5VQ6tW/8LP72S2BcMNBgUXLpRCWJg/Tp70Q1ycaXKdh8f9xwH44yha9CoD8GaMRyVEZBGeXM89ZWn5hw8fJt/uaaXlrTnL/XkUgwFlz51DYHBwqiz4WBcXHKlWDaHVq+N2oUIat9IG6XQ4X64czpcrB4/79xEYEoIaISFwf/AAjXfuRKNdu3C6QgUE16qF86VLAzqd1i22OsbZ5W4PHiCscmXE5smjdZOIKAfZJSXBMzwctfbvh8+lS/C5ciXV8ixGCQ4OuFq0aKqS8w+sZJ1ZIiIisn6xefJgV+PG2NugAfzDwlB3/34UuX4dNYODUTM4GOHly2N/3bqIKFMmw1V9FIMBxSMjkzPgPe/dS77OoCi4UKoUTvn54VSFCtk/qVxRcLtgQdwuWBDBxuD8rVupytrniY1F2fPnUfb8eQByPBdZvHhyWfurRYvaXtUEshr+j0vUn/Tz4yQTG3XlShFs2tQakZElAACurg9RoMDt5KD60wLqLi4SeGdGe84pXPgm+vX7CSdOVMI//7yM+/fzYeXK7ihd+jxat94Eb+9bWXpcgwGIjCyOsLAAnDhRCQ8fuiVflyfPA/j7n4C/fxiKF4/kkLGF4Kc3EWULVVWh1+uRkJCAxMREJCYmZul8ys14eWJiIvR6faoMdgbdny9PTAyqHzqEGqGhqX4oR5QqhZDAQJzy8+M6U2YiOm9ebGvWDDteegkVT51CraAglLp4MXm9vzteXgiuWROHq1Xj+sPZwWCA/4kTaLx9Owrevg0AaL5lC0Jq1sTe+vXxwN1d4wYSUXareOIEOvz1F1zi4tJcd7NgQVzx8UnOer9ZsKBpDVMiIiIiC6W3t8fRatVwtGpVlLxwAXX370eF06fhe+YMfM+cwY1ChbC/bl0cq1wZ+nQq/tglJaF0RAT8Tp6E7+nTcEuRCJFob4+z5crhVMWKCPf1zd3fqYqC24UK4XahQgiuXRtQVRS8dStVWXvXuLg0wflLJUrghrc3oj08Um0P3dygMpJBZkrR600l6gMCNG4N5bboaDds2dIcR45UAwA4OCSgQYM9qF9/Lxwdc64UOmWOogD+/idQvnw49uxpiN27GyAiogwWLHgHtWsHoUmT7XBxefTcx1FV4OrVoggLC8Dx45UQHW2a3ObiEgs/v5MICAhDqVIXodPZTqVfa2E2UZi7d+/io48+wh9//IHo6Gh06dIFs2fPhkcWs1BOnjyJsWPHYs+ePXB2dsawYcMwfvz4bG41kfVKSkrCgwcPUm0xMTHJp9HR0YiLi3tqsPxZjOu0Gxnvl5ly8Qy6P4XBgNIXLiAwOBgVT52C3eP/U5yzM45Uq4bgwEDcKVhQ40bS0xjs7XEiIAAnAgJQ8OZN1AwORpUjR5A/Kgqt/v0XzbZuRVhAAI5UrYrovHnxyNkZj5ycGDTKKFVFxZMn0WT79uRSirEuLoj28EDhGzdQb98+1Dp4EKGBgdjToAGiuUwAkcXT6fVo8d9/qLdvHwAg3sMDFwsXxmUfH1wuVgxXfXwQ7+z8nEchIiIismCKgoulS+Ni6dLwunMHdQ4cQLVDh+B98yY6/vknmm/ZguCaNRFcqxYSHRxQ7swZVDx1Cr7h4XBKSEh+mDhnZ4T7+uKUnx/OlS1rPkvcKQpuFSqEW4UKIahOHcBgQKHHmfMlUwTny507h3LnzqW5u0FREOPuniZIn3J74O7OzHrSROnHlR8euroiolQprZtDuSQx0R5799bD7t0NkZgon7VVqhxB8+ZbkDdvjMato6dxdExC06bbUa3aYfz7b0ucPFkJBw7UwbFjAWjefCuqVz+UJoiuqsCNG94IC/PH8eP+uHvXK/k6J6dHqFjxFAICjqNMmfOws2M8xJKZRTA+Li4OrVq1QlBQEFq1agVfX1/8/PPPuHbtGv75559MP154eDgaNmyImJgY9O7dG6qq4uOPPwYABuTJpqmqivj4+OSgesoAe8og+4MHD5CQ4geXke7xTOEXDYTb2jrtucHl4UNUO3wYgSEhyB8VlXz5peLFERIYiBP+/lzb1sLcKlQIf7dti/+aN0flY8dQKygIhW/cQPXDh1H98OFUt413dJTA/OMtzsUFj5ydEZ/yshTnkzcXF8Q7Olp/CXxVhW94OJps24Yi168DAB45OWFf/frYX6cOEpycUO7sWby0YweKX76M2gcPIjA4GIerVcPuhg1xz8vrOU9ARObILToaXX//HSUvXQIA7G3QALffew9Hjh/npD4iIiKySVH58+Pvtm2xtWlTBIaGovaBA8gbHY0mO3ag4e7dAAB7vT759tHu7jhdsSJOVqyIi6VKWUZAWqfDTW9v3PT2xkFjcP7mTZS8eBFed+/CPToaHo8395gY6FQVeaOjkTc6+qkPqQJ44Ob2zIB9jIcHqw9StvMPCwMAnKxUiYkYNkDWhffH5s0tkteFL1YsEq1b/4Nixa5o2zjKME/Pe+jRYxXOnSuNv/9ug9u3C+Kvv9ojODgQbdpsQokSkbh1K//jDHh/3L5tSpxzcEhAhQqnERBwHGXLnoWDg/4Zz0SWxCyOEL7++msEBQXhvffew4wZMwAAffr0QZ06dbBy5Up07949U483dOhQREVF4Y8//kCHDh0AAP7+/vjkk0/Qp08flChRIttfA5GWDAbDU7PYHzx4gPv37+PBgweIjY2FXp/6A9yYpZ6RADkHrs2MqqLEpUsIDA5GpRMnkn8wxzs64mjVqggODMTNwoU1biS9qEQnJ4TWrInQwEAUu3wZNYOCUOrCBTg/epScpeCUkACnhIRnDh48jQqkDdI/sUXnzYvTFSogztJK5Ksqyp49i6bbtsHn6lUAsn/sr1sX++vVwyMXl+Sbni1fHmfLlUOpiAi8tHOnVJgIDUX1Q4dwtEoV7G7UCHcKFNDqlRBRJpWKiECX33+H28OHeOTkhHWvvooz/v6owgEsIiIiIsS7uGBvgwbYV7cuKp08ibr79qHYFQn03M6fH6cqVsQpPz9cKVrU8idv63S4WbhwuuMjil4Pt4cPk4PzyUH6J/62Mxjg/uAB3B88SP5tmZ6Hrq6pAvQXSpXCqYoVuc43ZYkuKQl+J08CAI77+2vcGsppV64UxaZNrZLXhffwuI+WLTcjIOA4UhSYJQtStmwE3n13AYKCamHbtia4dq0ofvhhADw9o1JlwNvZJaF8+TMICAiDr+8ZODomathqyilmcSSwaNEiuLm54fPPP0++rHbt2mjWrBmWL1+eqWD8pUuXsHnzZjRt2jQ5EA8AgwcPxqRJk7BmzRqMHDkyO5tPlGMSEhIylMX+6FHaNUcymsXOLHXL4xQXh6pHjiAwJASFbt1KvvxqkSIIrlkTYQEBSHRy0rCFlCMUBZeLF8fl4sWTL9Lp9XB69AjOKTaXJ/52jotL/XeKzSEpCQoAl8f3exa9Tocz5cvjaJUqCPf1TXdNQbOhqigdEYEm27ahRGQkAFkj8GCdOthbv/7TJxUoCi6UKYMLZcqg+MWLeGnnTpQ7dw7VjhxBlaNHcdzfH3saN87FF0JEmWYwoOGePWi6dSt0qorr3t5Y2b077ubPDwsfRiYiIiLKdqqdHY4HBOB4QAAK3rgBg04nk5BtJPKj2tkh5nFW+1NzTg0G5ImNfW7A3iEpCXliY5EnNja5Ilut4GA8yJMHh2rUQEiNGrjv6Zlrr40sX5nz5+Hy6BFi3NxwsWRJzdpx4UJJrF37Knx9w9G06Ta4uj5/7WvKuOhod2zZ0izVuvANG+5BvXpcF94a2NkZULfuAQQEHMPWrc0RGlodd+96QafTo2zZcwgIOI4KFU7B2TltlWKyLpoH469fv46IiAh06NABefLkSXVds2bNMG3atEw93t69ewEA7du3T3V5njx5UKdOHWzfvp3BeNKUqqp4+PAh7t27BwA4duwYHj58mBxkj46ORkxMDB4+fIikpNRfuCnXWn9ekJ1Z7FZGVeFz5QoCg4MREBYGh8fvjQQHB4RVrozgwEBc8/HRuJGU2wx2dojLkwdxT3x/ZpRdYiKc4+PTDdinDOoXvXIFRa5fR8XTp1Hx9GnEOTvjRKVKOFq1Ki4VL25WmRIlLl5E061bUeriRQBAor09gmvVwu4GDRDr5pbhx4ksWRK/vP46il6+jJd27kSF8HBUDgtD5bAwXA0Jwc3q1XHV2zunXgYRZYFzXBxeXbsWFcLDAQCHqlXDxnbtuEwLERERUQbc4u+b9Ol0eOjmhodubrhWtGj6t1FVuMTFpQrOe925g8rHjsH9wQM02rULDXftwpny5RFcsybOli8P1Yx+R5N58j9+HMDjEvUavl8OHqyF+/fzISioNsLCAtCs2TbUqnVIs/ZYi4QEe+zbVx+7dzdIXhe+atXDaN58Kzw8uC68tXFzi0WHDn+hTp0DuH07P0qXjuDEFhujeTD+xo0bAIAqVaqkua5s2bK4f/8+oqKi4JXB9Vqf93jGYD1RdlFVFUlJSUhMTER8fHy6WewpS8XHxcVBVVXodDpUqVIFGzZsSPVYz8pSZxa77XGMj0flo0cRGBKSPLMaAG4UKoTgmjVxrEoVxDs7a9hCsmR6Bwc8dHDAwwwEqQvevIkqR4+i8tGjyBsdjcDQUASGhuJuvnw4VrkyjlatqmkZd5/ISDTdtg1lz58HACTZ2SEkMBC7GzbEAw+PLD/u1WLF8FuvXvC+dg0v7dyJSidPouj+/Ri4fz/Cy5fHzsaNcaVYsex6GUSURYWvXkX3lSvhee8ekuzssLFdOxyqUUPrZhERERGRLVAUxLm6Is7VFTdSlMPf0qIFKpw+jZpBQSgTEQHfM2fge+YM7uXNi5DAQByqXh0P3d01bHjW5L17FyUuXcJNb+9Ur5eyj11iIiqeOgUACNOwRL2qApcuSdl0d/doxMR4YMOGdggOrolhw85o1i5LpqpAWFgANm9ugejovACA4sUvoXXrf+Dj8/RlMMg6eHvfhLf3Ta2bQRrQPBgf/Xh924IFC6a5Lm9e+TC6evVqhoPxz3u8q89Y14dyz/WjN/HPnDNwsDPAQZcEB50BDjr94+3x30pSisv0pr+Np0hM/tte0QMGPQwGAwxJSVD1eqiPzxsMBqhJSaa/9XrTZjDAoNdDTXm5wQA15enjTU15/ePrVFWFajBAUVUoj4PkxlMXVYWrosBbVYHHWeopb6MD4LF+Pfzu34f6xP2ffKycuu5FHktvZ4ejVapgZ+PG0HPtq2xX+No11AwORsCxY8nrgifZ2SEsIAAhgYFSqtxGysaRebhVqBC2tGiBLc2aodTFi6hy5AgqnTgBz3v38NKuXXhp1y5cKVoUR6tWRZi/f6ay0F9EkStX0GT7dviekR+Bep0Oh6pXx66XXkL04+OI7HCjSBGs6tED3rdvo93Ro/DZtSt5IOVcmTLY2bgxLmlYNo7IZqkqaoSGos3GjbDX6xHl6YlV3bvjepEiWreMiIiIiGycwc4OJytVwslKleB1+zZqhoSg2qFDyHf/Pppv3Yom27fjpJ8fQmrWxIVSpcx2nEfR61Hs8mX4hofDNzw81ZKJl4oXR1Dt2jjh5wcDxwezTdlz5+AcH49od3dEpliuMLfdvZsPDx64w84uCUOHzsHhw9WwbVtT3LjhjQkTvBEQ4IkWLf5FvnzRmrXRkly+XBSbNrXG5cvSp3nz3kPLlv/B35/rwhNZO82/Ie0ff0m7prN+q6OjlOeIjY3Ntsd71mPFx8cjPj4++W9jYD8xMRGJiYkZbkN2MT6nFs+d08I2XUT/hQ2y9THtkSgB+sebIxJS/e2ARDghHs54BGc8ggviks9nZEt7+4Q0t8mL+9Ahc5nrljxU/NKuXagQHo4/O3fmoPdz6B6Xk9I9o6yUQ0ICKoWFITAoCD5XTKuV3S5QAKE1a+JItWp49PizjcXMzEdG+taq6HS4VLYsLpUti03t28P31ClUPnIE5c6ehc/Vq/C5ehWt/vkHZ8uVw7GqVRFesWKOlIj2vn4djbduRYXHM8UNOh2OVKuGXY0bJ6/DlxM9cqdwYYS2aIH1NWqg3o4dqHLkCMqeP4+y58/jYsmS2NWkCSLKlDHbQRTKHJvbvy2MfUIC2q5fj6qHDwMATlesiD86dUK8i0u6+z/707awv60X+9a2sL+tG/vXtth6f98rVAj/tWmD7S1aoNLx4wg8eBDFLl9GwPHjCDh+HLcLFEBIrVo4Wq0aHrm4aN1cOMXFoezZsygfHo5y4eFwjYtLvs6g0+GGtzcK3biBEpGRKBEZiVZubggNDERorVqI8fCw+f5+UQEnTgAATgQEQKfhJIfIyFIAgKJFr8HFRY969UJQpcoJbNvWFMHBNRAW5o/Tp33RsOFeNGy4Fw4OXOM8Pffvu+O//5rhyBGp5uzgkIBGjfagQYP9j/9n5rufcF+2DgaDId04ozXHIHNDZv5viqpxzeujR4+iatWqmDt3LgYPHpzquk2bNqFNmzbYtWsXGjZsmKHHmz17NkaMGIHjx4+jUqVKqa778MMPMX369DTrcBtNnDgRn332WZrLly9fnm5wn7Luxq4HWPF9KSTCHomqPZJUBySq9kiEPZJU42VpT5MMdkhU7WGAndYvIV12ih6ezjHI7xKN/C7R8HJ5fN5Vznu5RiO/awzyuz5APpcHsLMDVGPARlEARZFQvu5xSD/lZcbzKU/TuY3x+qfdL83l6d3vycdO535ukZGo/MMPcLp/HwY7O4R364bwrl2hchZsxqkqnKOikO/sWRQ8cgTFt2+Hw+MJQwZ7e1ytVw8XXn4ZdwICGNgjs+d47x6K7d6NYtu3w/Ps2eTLE11dcbVePUQ2aYI7/v4vvL68+6VLqPDbb/B5vOyMqtPh8ksv4XSPHniowaQg1xs3UG7NGpTcsgW6x8cXURUqILxbN9wIDOS+S5RD8ly9ilpTpyLvhQtQdTqc6NMHZ1999YU/Y4iIiIiIcovH+fMo9c8/KL5jB+wfydrBSY6OuNKoES60aoV75cvn3m9KVYXb1avwDgqCd3Aw8p84Ad3jSp8AkODmhhuBgbhRsyZuVq+ORDc3OEVFoeTmzSi9aROc794FIIH6a3XrIqJtWxkD4G/iTNPFx6NNv36wf/QIO6dOxV1fX83aMnduVWzeXAqdOp1Bv34nUl0XEeGBRYsq4/hxWbKwYMFYvPFGGOrVu8Zufyw+3g5r15bD2rXlEB8vY+ZNm17C66+fhJcX1wsnsnSxsbHo1asX7t+/D4/nLJOqeTD+9u3bKFiwIMaOHYupU6emuu6nn35Cv379cOzYMQQEBGTo8X7//Xd069YNGzZsQNu2bVNdN2DAAPz555+4fft2uvdNLzO+ePHiuH379nP/kTkhMTERmzdvRsuWLeGQA1mFlsxgABITZUtIMJ1/cktKUlL9HR8PPHokm5xX8OgREBeX8jLT5Skvk9soT9zOdJ2qZu4oQ1FUeHgkwMfHAUWKAIUKAd7eKgoVAgoVUuHtbTotWBAwy7fArVuwGzoUurVrAQBq9epIWrwYyOD+aksSExOxa8UKNHF3h/3hw1AOHYISEgLlxo1Ut1PLlIHhzTdh6NdP3hRk9vhZnY5Tp6Bbvhy6X3+FcvFi8sVq8eIw9OwJQ+/ewBMT5p7r9GnYTZ4MZcUKKKoKVVGgdu0K/YQJgJ9fNr+Ap3tqf1++DN2MGdAtXgzl8SCKWr069OPGQe3QgQFCC8X92zwpa9fCbuBAKNHRUL29of/5Z6iNGz/3fuxP28L+tl7sW9vC/rZu7F/bwv5+huho6H79FbrvvoMSFpZ8sVq9OvSDBkHt0QPIkyf7nzchAcru3VA2boRu40YoKSbWA4Dq5wdD27ZQ27WDWrcu8LQEnMREKH/8Ad38+dDt2mV6WSVKwHn0aCivvw7k0lJ21kBZswb2PXtCLVkSSeHhmk5oqFzZHqdPK1izJgmvvGIKIxn35xYtWuKPPxzx4Yd2iIyUdjZubMDMmXpUrqxVq7WnqsBvvyn46CM7XL4s/5f69Q2YMcOAwEBNw3GZxs9u68b+fTHR0dEoUKBAhoLxmqewFihQAD4+PggNDU1z3cGDBwEA3t7eGX68qlWrAgBCQ0PTBOMPHjz4zMdycnKCk5NTmssdHBw0fSNq/fzmKp2u0oyqyqSA27eBGzeev92+LcH7+/edcP8+cOLE858jf37A2/vZW+HCEr99vMJDzitaFFi9GlixAhgyBMqhQ3CoWxeYOBEYO/bpB+m24Pp1ICQECA4GQkJgHxyMVteupb2dnZ0EJWvWBHr2hNKiBex0OjOt/UDPws/qFCpXBr76Cpg8Gdi9G1i2DFi1CkpkJOymTYPdtGlAjRpAnz7Aa6/Jh9fTnDsHTJokj2Gcld+5M5SJE6FUrqxZIa80/V26NDBnDjBhAjBjBjBvHpRDh2DfvbtMUJowAejaVfZ5sjjcv81EYiIwbpzsYwDQqBGUFStgn8mqGOxP28L+tl7sW9vC/rZu7F/bwv5OR/78wNChwJAhwL59wPz5wMqV8pvynXeA998H+vYF3nkH8Pd/see6dQvYuBFYvx745x8gJsZ0naMj0KQJ8MorQLt2UMqUydj4lIOD/LZ/7TXg2DFg7lyoy5bB49IlYMQI4OOPgf79gcGDgQoVXqz9tmD1agCA0r07HHJtkDetW7eA06flfOPG9ukmijk6OqBXL3u8+iowZQowdSqwY4cOtWrp8O67wOefA15eudpsze3fD4waJacAULKk/F+6ddNBUSw3UYOf3daN/Zs1mfmfmUWkrG3btvjhhx9w9uxZlCtXDoBkqa9duxYVK1ZEwYIFM/xY5cuXR/ny5bF06VJ88MEHyf+Mo0eP4sSJExg0aFCOvAaybYoikwN8fGR7nqQk4Nq1RKxevRu+vo1w5449btyQ+O2TgftbtyT+dOeObBkJ3Ht6Pj9wb9ycnbPhxffsCTRuDAwaBPz1FzB+PPDHH8CPPwIVK77gE1iAmzdNgffHwXekWPMdABRIOW34+UGpWVOC74GBQNWqAJfBIGul0wEvvSTbt9/Kj/1ly+SHf2iobGPHAi1bAq+/Drz6qml/uHgR+OILYMkSQK+Xy9q3Bz77DKheXbOX9FyFCwPTpgEffAB8/bW87rAw+ZysUEE+H3v1su3JSkRZcfUq0KOHTPABgDFjgC+/NNPSQUREREREWaAoQP36sn39tYyrLVggk9TnzJGtUSPg3XeBzp0zlqmkqhIgX79etv375TIjb2+gXTsJwLdoAbi7v9hrqFwZWLAASZMm4dS4cQjYsUMy7mfPlq1lS5l40K4dJ6un58ED6SdAfv9oaM8eOfX3f35A3dVVhmveeEOGeX7/HZg7F/j1V8mvePtt6x8GiYyUueO//CJ/58kjQ0CjRgEuLtq2jYi0ZxYfgUOGDMGSJUvQq1cvrF27Fvnz58e7776Lq1evpllHPiNGjBiBoUOH4t1338W3336LqKgoDBgwAKqqonfv3jnwCogyx95e4jWlS0ejZUv1mePIer0E4TOScX/zpgT6796V7dSp57fFwyN1Zv2zAvfPjBkXKSIB+J9+klmvBw5IwGzyZPnbWg6wb99OG3iPjEx7O0WR0tmBgUDNmkiqWhWbrl9Hq86dOcuMbJOzs2SGd+0q+9GKFRKYP3AA2LRJNjc3GVBwcQF++EGyYAGgdWv5VVe7travITMKFJDPvzFjJCD/zTcypbxfPwnU168P1KkjW82aOVNykMhabNsmE1pu3pQDlx9/BDp10rpVREREREQ5p0AB+T353nvAli2SLf/nn8CuXbIVLAgMGCBRzjJlUt83Lk6OoY0B+CfHrapXl+D7K6/I79GcWFYtXz6cb98eFefOhcOOHTKRYP16YPNm2UqWlEkFb74pr5XE+vXSf2XLSkVBDRnnQTdsmPH7lCoFrFolb78RI2QeyJAhMqdk9mwpvGBtHj6UnIypU6XrACkE8eWXMlxORASYSTC+atWqmDFjBkaNGoUSJUrAwcEB8fHxqF27NsaOHZt8uwkTJsDT0xOjR49+5uMNHjwYO3fuxOLFi7Fs2TLo9Xro9XqMHDkSDTPz7UFkBuzs8HgdeTx3rR2DQYLwT8uyf3JLTASio2U7c+b5bXFzMwXmixYFBg4EXn45xQ0URQJNzZvLwfS//wKjRwNr18rAedmyL/KvyH137kiwPUW5eaRY/zqZokjGqzHbvWZNoFq1VOthqYmJ0G/cmHttNwOqKv+u0FDg0iWZm1CzplRfIxtXoID8GhsyBAgPl2nDy5YBEREyoceoWTOpadaggXZtfVGensAnnwAjRwLz5kl57evXgTVrZANk4CMgwBScr1NHdhhrmcRElFUGg4xofPSRnK9SRVIsypfXumVERERERLlDp5Ns8pYtpQrjokXAwoVy3lgXvFUrGaS7c0eCuf/9B8TGmh7DxUWy3l95BWjbFihWLHfb//LLskVESFR20SIZMPrwQ+DTT2Xi7dChMmhk61askNMePTRdKx7IWjDeqGlTGQ/87jtZpeDYMbmsa1dg+nSZi2HpDAZg+XJ5GxsLpDZsKLkYgYGaNo2IzJBZBOMBYPjw4QgMDMSsWbNw/fp1vPzyy3j//ffhmGJdlMmTJ6NkyZLPDcYrioIVK1agXbt2+OVxXZD+/fvjtddey9HXQKQ1nU4CnfnzyzLkz6KqwL17Gcu4v34diI+XSkkPHkh1LEDGw4cNk2P/VOV2ihWTLNdFi2QG7+7dMoA+darMes2JGbfZ5cwZychduRI4fz792/j6pg68V6/+4mW8LJzBIP+ukBBT9fHQUCAqKu1tS5cGatWSf12tWjLR18Mj99tMZsLXV7LeJ04E9u4Ffv5ZZhW98451TZn28JBfaCNGAAcPSkUA43blCnD0qGwLF8rt3d1lJ0kZoOeUarIld+/KBL+//pK/+/eXOodc2oWIiIiIbJWPjwSvP/pIgu7z50sijLHaXErFiknwvX17iYKaQ53s0qVlEHHiRAk6z5kjA0lLl8pWu7YE5bt1y4Z1NS1QdDTw999yXuMS9bGx0jWArIyQFfb2koPRs6fkKCxYIGPJ69dLwcD337fcn3d790rORVCQ/F2ypGTHd+2q+RwKIjJTZhOMB4AGDRqgwTOy39SU69lkQN++fdG3b98XbRaRVVIUSdj09Hz+su6qKseDKQP0W7bIQdS338r5X36RZPBUTzBwoMzcHTBA6hMNHSqZoIsXS90icxEbK0eDixcDO3emvq5cubSB97x5tWmnmdDrJZk5NNQUfD90SN4jT3JwkITfkiWB48dlrkNEhGwrV8ptUhYWMAbpq1Wz3ANyyiJFkQx4S86CzwgXF6BxY9mMrlxJHZwPDgZiYuRzc9s20+2KF08dnA8M5I5C1ik0VEYxIiJkHcw5c6TiDkc1iIiIiIgkyvnqq7KdPQt8/73UBvf2luD7K69IUoy5Hj+7uMhk2379ZLL6nDkySHTwINC3ryT2DBwok/RLlNC6tbnnzz8lG6pixeeXR81hBw7IUqjFir14F+TPL/OqBw0Chg8HduyQnIwlSyRL3pIC2MaCDr/9Jn+7ucncmJEjbXP+CBFlnFkF44nIPCmKxJ/z5pUkVkAOlDp0AN54AzhxQuJCkyfL8XKqxPdSpaQ81rx5Mu1x61Y5oJw5E3jrLe2OtlRVIsmLF0tNIWMkWaeT9akHDJBy+/nyadM+M5GYCJw8mTrwfvhw6mpnRk5OQNWqkulu3AIC5HKju3flMYKCJN4YFCQl7E+dku3nn+V2dnaAv3/qDPrKlYEUxVKIrIePD9C5s2yA/OI9cSJ1gP74cVnnLzJSJg8BsqNUrpw6QF+xonlXHyF6FlWVqjrDhskgVOnS8n7XeK1EIiIiIiKzVa6cVKKcOlXrlmSeoph+y86YIb8FFiyQ371ffSVZ9B06SHp18+aWE7HNKjMtUZ9dTalSRfINfv8dGDNGxgO7d5dchdmz5Xpz9eAB8L//ydv00SP5nwwYAHzxBVC4sNatIyJLwGA8EWVZmzay5s/AgcAffwBjxwIbN0plqeLFU9xQp5Os+NatZebrnj3A229LlvzChbm7VlVUlER8Fy+WktBGZcrIUVS/frnbHjMSHw+EhZlKzIeEyL8oPj7tbV1dpUhAysC7n59kwj+Lp6f8fmre3HTZzZsSmDcG54OCpPqCsWr34sVyO0dHCfanDNBzWW2ySvb28iu0ShX5gAUkUz44OHWA/to1mR1z+LAsxAZIOfxatVIH6L29tXolRBkXGwsMHiwHEYBk9CxdKl8cRERERERk3QoVAsaPl9rlf/0lqdRbtgDr1slWsSIwerRkzltjpsbdu8A//8j57t21bQtebL34Z1EUWYWgXTuZPzJlimTKV68umfOTJkkmvbkwGICffpK35rVrclnjxsDXX0ubiYgyisF4InohBQsCa9fK5NWRI2WGY5UqEhdKc+xYrpwcYX3zjdTw2bRJUqdnzwZefz3nZn0aDJKRv3ixTABISJDLnZyALl2k9G2TJjaVTRobK4HulOu7h4VJJvyTPDxSB91r1JAKCdkVBC9UCGjbVjZAEiOvXEmdPR8cLL9LjMF6I1dXaU/KEvflytlUV5KtcHeXdf6aNpW/VRW4fDltefvoaBmw2LLFdN/q1eVDuVYtbdpO9DxnzkjJnaNH5QN88mQZhOOHORERERGRbbG3Bzp1ku3ECam0uXSplFMcOFBSkcePl2QfawrKr1sng3IBAUClSpo2JSlJ1kQHsr5e/PO4ugITJ0rF1bFjZZWF+fOl/PukSRKYt9c4crVzJzBqlIyZApLHNX26rA5h7UUaiCj7MRhPRC/MuDx8kyZA794SLO3RA1i/XpZ98vBIcWM7O5nJ2ratZKEHBcnp6tUSLMrO2j6RkbIA0ZIlwIULpsurVZMAfO/eNpFxZ6x4ffCgaQsLk7Xfn+TlJctQpwy8lymTu/EQRZHiBMWKyW8vQOKO58+nDs6HhEiZqN27TTN2AVlOISBAliCzs3v6Zm//7OszugE6nDtXHKVKScVwxo4oVyiKlCApXlyCmIDs7GFhqQP0J08Chw4B9eoB48YBH39sXQMWZPnWrJERmOhomZ3122+mSSdERERERGS7KlWSgcUvv5QEm6lTZdHuQYNkAu+4cfJbIuX6iJYqZYl6jR09KuNtefPKEpI5qWRJYOVKYPt2WU/+2DEprvrdd8CsWdr8NIyIkLnhxhUCPTxkKGXYMOt4qxGRNhiMJ6JsU768VKCfNEmOiZctA3btktM0ZY38/GSa5dSpMhXyzz8lojpv3osdeCYkyGMtXizlnVRVLs+bV4Lvb75p1WvPqqr8LkkZeA8JSX+Nd2/vtIH3EiXMc3anogBly8pmfHvo9UB4eOoM+sOHgfv35X2Ye+wA1MC338rcjvr15f3eoIEkIjs752ZbyKbZ28tko2rVZHACkHUgRoyQAOcXX0i5v59+Mu/F2Mg2REXJAcM338jfDRvKAFTRopo2i4iIiIiIzIyHh6Qov/MO8P33Utv80iXg3XclUD9unCw9aamR0tu3gf/+k/NmEIw3JrzUr597S0M2aSIZ6N9/L4HvY8eAZs0k92D6dAna57ToaHk7ff21DC/rdJJ89vnnMm+ciOhFMBhPRNnKwUEOUlq1ksrzERGyls64ccCnnz6xpri9vZSWat9esuMPHQJ69pQs+blzpQZ+Rh0/LgH4ZcvkINaoSRMJwHfpIqnSVubOHQlCpwy+37qV9nbGZaRr15atVi3Axyf325ud7OxkToefnywZBkhFr+PHgdOnJUk4KUmC9tmxPe2xEhMNOH06CufP58fduwo2bAA2bJD2ODhI6fwGDUxbZt7WRC+sUCHg11+Bzp1loOLIEXlTfvaZ1ILTuu4b2Z7z5yUAv3ixaabY6NHAV189cZBARERERESUgouLTDZ/+21ZL/N//5OqmIMHSxT1ww9lDNBSsiKuXQN++UUqeur1ssRc+fJatyrH1ot/Hnt76coePYBPPgEWLJDs9PXrJVP9gw+kvH120+ulCz76SPIZAKBFC2DmTKmASUSUHTgCS0Q5okEDyVIePlyWdpo8WRLVf/lF1htPpXJlKac8ebJsq1bJ2vILFpjqlKcnJkay6BYtkvsbFSkiZareeEMWELcScXEyXyFl4P3cubS3c3CQxFhj4L12bfmf20L5dONrr1Yt954zMVGPjRv3oGXLtjh+3AG7d0tm/p49wPXrwL59sk2fLrf39TUF5hs2lL/NsRoBWZlu3YCXXpJBiz//lIlQ69bJB3TFilq3jmzBgQPAjBky4c5gkMuqVZPs+Fde0bRpRERZdfcusH+/TEAuWVLGz0uX5twiIiKiHOXiIjXDBw40BeUvX5b65l99JUH5t94yz6B8XBzwxx9Sse6ff0y/jZycJLtJY6pqCsbn1Hrxz5M/v+RoDRokcy+2b5d/zZIlMrbWrVv2jaNt2yZFF44ckb99feVna7t2HKsjouzFYDwR5RgPD+DHH+UAZtAgKSVevbqU+xk48ImDGgcHKVffoYNkyYeFSSZn795Irv8NyFHh3r2SUbdyJfDwoVxuby+D+W++CbRubfHZnnq9LPWcMvB+7JhkZz+pQoXUgfeqVS23Mpclc3CQigO1asmBvHGde2Ngfvdu4MQJKa0fHi4/IgCgQIHUpe0DA9l/lEO8vSUAv2yZzJQ6eFA+lL/6Sv62hRk7lLsMBkljmD5d1q0xat0aGDNG6g5yhIOILIReL8dy+/ebJlueOpX2dnZ2EpD39ZXgfMrT4sX5dUtERJRtnJ0lAP/WW8APP8hv28uXJVD/1VeSSj1woPaVMo1jmUuXyljm/fum6+rXl3KP3bubxj41dP68JOw7Osr4lpaqVAG2bpX53KNHy8oEPXrICqezZsn4Z1adPSvFAtetk7/z5ZOKroMHy2snIspulh2tIiKL0K0bUK8e0L8/sGWLBOY3bJDJq2lKdteoIVH7zz6TNaB++UWOvGbNksXQFy9OPerl6ysH3X37SqDJAj16JBnUISGmwHtwMPDgQdrbensDdeqkLjefL1+uN5kyIOU698Yy+lFRMnBrDM4HBcmqCn/+KRsggfhatUzZ8/Xry6xgomyhKPKGbNpUJi9t3iyzR9atkxkipUtr3UKyBnFxMuljxgyZfQTIjKXevYH33mOtPyKyCFFRUtTDGHg/cEAKcz2pXDmZHBsZCZw5Ix+BZ8/K9iQnJ7l9+fJpA/WFC3N+EhERUZY4O0sU9c03TUH5yEhJqzYG5QcNyv2g/IULkgH/00+pS1uWKCG/y/v2NYuy9CkZs+Jr1jSPwgKKIuvGt2sHTJsmRRB27JDh40GDpNBaZsbM7t0DvvgCmD1blrq0s5MV/SZO5NgbEeUsBuOJKFcUKwb8+68sEztunAQeK1eWY+S2bZ+4sZOTrPXUsaNkyZ8+LTNEjVxd5e8335RopYajVqoqyfn378sBXcot5WVRUXY4daom5s61S3X5/ftAfHz6j+3mJge/KbPeixXjIJ0l8/KSHxDt2snfCQlAaChSlba/dUv+Nv4AAgA/v9Sl7cuW5fuAXlDx4lIS7/vvZYr5jh3yoTxzZjqlS4gy6PZtSVOYM0c+zAAgb14Z3Rg2DChaVNv2ERE9hTHr3Rh437dPfoI8KU8eOSavW1cmG9etm3pyscEAXL0qQfnwcDk1nj93To77jx+X7UlubmmD9MbzHBwmIiLKACcn+e0xYICU6vzyS0mnHjVKEn7ef18iuDmx8LhRTIwsdL50qfzONsqTR7KV+vYFGjc221I5Wq0X/zwuLrKOfP/+ktG+ciUwfz7w229Swv6dd55dJDUpSZLCPv5YfrYCQJs2UsStUqVceQlEZOMYjCeiXKPTSUJc8+aSHHf8uAQlhwwBpk5N51i4Th1ZJH3CBMmMDwyUAHzPnlIDPweoqiTeh4YCd+6kDaqn97den5FH1gHweeq19vZSfill4L1iRZmhSdbL0VEGcevWlYrNqioDtilL258+LUsWnDwpPxwAKW3v7y8/GPz8TKdFijCGSpmgKDIQ0bKl/KLdtUv+XrNG3mzFimndQrIUZ87IGjRLlki5F0AWTx41SgbC3N21bR8R0ROiolKXmz94MP2s9/LlTYH3evWAgIBnD/TqdPL1WayYFKFJKSlJ4gEpA/XG0wsXpCrWoUOyPcnTM3UWfeXKskKXha/MRURElDOcnOS37RtvSFB88mSptvneexKUHztWord58mTP8+n1UtVz6VL5PR0XJ5criizN1a+fLMWZXc+Xg8w1GG9UogSwYoUUQhg+HDh6VOZ9f/edDB03a5b2PsaCgMbJkH5+UsStTZvcbTsR2Tb+dCOiXFe1qpRh//BDOVCaO1eOWX/5RZYvTsXFRY6Q/vc/KXGbzeLipC3G4OfevTI4l1n29lIuPm9eOU255c0LuLvrceXKcdSvXwkFCtinuZ2bm9lOiqVcpCgywOrrK78ZAZmxu3evKXs+OFgu27Ej9SRrQN5rKYPzxtOSJfn+omcoUwbYvl0+kMeNk4z5gADg22+BPn04w4Oebu9eSSVYt05mEwEycW7sWKBLF0aJiMgs6PUy+GoMvO/f/+ysd2PgvW5dmQCZXezt5Su3TBmgVavU1yUkyBqt6QXqL18G7t6VMvkHDpjuU6WKFCNp0CD72khERGRVHB2l8lu/flIqfvJkmQE3ZoxkBY0ZI1HdrAbJT56Ux122DLhyxXR5hQrynH36SFU6C3HrlmllUHM/vmjcWJb7XLhQcrjCwiT5q0sX+YlaqpQc740ZA6xfL/fx8pJVUQcNypEhZiKiZ+IIGRFpwtlZSta3bSsJmSdPSiL8F19IxeQ0GeHZdJR040bqwHtIiKwR9GTbataUarpPBtXTC7TnyydZ/c+KVyUmGrBxYwTatvXjAR9lSoECQIcOsgGSdBoWJvvMiROm03PnpGrD/v2ypeTiIpUWngzSly3LHyD0mE4nU8Vbt5ZBg6AgKZ+3Zg2wYAHg7a11C8lc6PUSfJ8+PfWHzSuvyEjHSy9xAgcRaerOHdPx0POy3o2Bd2PWu1ZVqRwd5VitYsW018XGyvrzxgB9eDjwxx+SCdawoXxtT5nCr2oiIqKncnQE3npLvjSXLZPBx4gIKVs/bZopKO/m9vzHunNHaqMvXSq/m408PaWSZ79+MrvPAn8T7dkjp/7+Erg2d/b2sipBjx7Ap5/KJMXVq4ENGyTr/a+/pDKRvT0wdKiUuff01LrVRGSrGIwnIk29/LIMJL39NrB2LfDBB8Dff8sxbYkSL/bYBoMEKo3B9z17JGD5pMKFTetx168v2fmOji/23EQ5xThZpGbN1Jc/eiSDtE8G6U+flgoQ6ZU9dXCQgegng/QVKsjzkA3y85OZSlOnAhMnStB1925ZjK1rV61bR1p6+FDWXZw5U9I3ASn/2LevTOTw89O0eURkm/R6maSYsuR8eHja27m5pc16t5R12F1dJQu+ShXTZbdvSzGbRYvkd9O6dcCkSTIgzaIkRERET+HgIMtovf468PPPkil/7pwMRk6bJtlBQ4akXWYrMRHYuFGy4P/6y5TVY2cnWUb9+snkZCen3H9N2cjcS9Q/jZeXFPZ7+21gxAhg2zYZYwaA9u2laytU0LaNRET8mUZEmitQQGYuLlki6/1s3y6DTQsWyKTSjIqNlcwXY+B93z5Z0z0lRZGsl/r1TQH40qUtcsIqUSrOzrJ+aOXKqS9PSpK4WcoAvXEN+thY+fvEidT30elkvzAG5wMDgY4dLf53JWWUvT0wfjzQrp0EWo8eBbp1A3r1kl+4ljBFnrLPjRvAnDmSZmBcx8XLSwaphgxhKqYZuHJFknM2bpTuaNhQNn9/7bJ8iXLKnTvA7t0KfvmlImbNskNQkKy1/iRf39RZ79a2PxQoIGVZ33xTPopDQ+V31OLFsgSYuZeWJSIi0pSDg6wN+PrrsmbmF19IGZpx46QC2OjRkkp95ozMelu+XGbCGVWvLr+Ve/UCChXS7nVkM0sNxhtVrgxs2SIF/taskUqsLVtq3SoiIsFgPBGZBUWRyamNG8uSSvv3A6+9Juv6zJ0r5eCfdPWqqdz8nj2S9ZuUlPo2rq5S/t4YeK9bV8rKE9kKe3vTOvSvvmq63GAAIiPTBulPnJBJLOfOyfbXX3L7okWBkSNlbS0PDw1eCOW+qlWl7N7nnwNffSUDENu2SRpe27Zat45y2smTkgW/bBkQHy+XlS0LvPeeZH5kdV1FyhZRUTKRcflyYMcOQFVN1/36q5zmzSuTDxs2lGOg2rVl2RIiS6LXA//8A6xcKcf8Z84AMoxhSm9yc5PjfWPgvU4dy8l6f1F168pk5IULZR7dkSMsXU9ERJRh9vbypdm7txxET5okBxvjx0uluIQE0229vWXAsl+/tFkQVuDhQ1nKEwAaNdK2LS9CUWTd+C5dtG4JEVFqDMYTkVkpWxbYtUsqRU2aJBNUd+2SiaheXqlLzl+4kPb+Pj6mwHuDBpJhzzWxidLS6YCSJWVr08Z0uapKImzK4Pwff0jm5fvvy7757rtS+qtwYe3anx30emDrVpl80L49S/Ony9FRsgTat5dBh9OnJWP+rbeAGTM4M8PaqCqwc6dkg6xfb7q8bl1g7FgpkWFNqaUWJjZWJkgtXy5L+hirYwISfOvWTT7Pdu+W6kD378vt/v5bbuPgIJVOjJnzDRpIdi2RObp+HfjhB+D774GLF1Nf5+urolixSHTtWhQNGthbXdZ7ZtnZAe+8I4PO48ZJdjxL1xMREWWCvb1kyb/2mpScmjRJ1r1xcpKshn79JMXair9QDx6UBKdixV582VAiIkrLer9BiMhi2dsDn34q68n36SMltps2TXs7nU6C7SlLzpcowZLzRC9CUSTIXrgw0KyZXPb11zIxZupU4NQp4H//k8v69QPGjJF15y3J5csywL94MXDpklxWtKgsEzdwIDNH01WnjpQf+egj4JtvJDv+339lfRHjG4UsV1KSpFlPnw4EB8tliiIDT2PGyBctaSIxEfjvPwnAr1uXuhx3lSpSGbNnT5lYlVJSkqwwsXu3abt2TSoP7d8vXQ0AFSuagvMNGwJlyvA4irSjqlKAZcECWefTWPHK01Mqwb78sswNcndPwsaNh9C2bRFOuk2hYEH5en7rLZauJyIiyhJ7exmIfO01KTdTpozNlNdMWaKevweIiLIfg/FEZLbq1QMOH5bS2D/8ICUo69Y1Bd7r1GFSJlFucHSU5dT69ZOszClTJOvy+++lLGqXLpI1X6uW1i19uqQkWU/5++8lS9RgkMs9PSX4fvWqZPt/9ZUE5QcNYlA+DRcXKVv+6quy+FpEBNC8OTBsmMzQcHXNmedVVSA6WiKJT27XrwPVqknAmDIvJka+YL/+2pR66uwsO/yoUZY308ZKGAzyGbt8uZTmTrk8ZalSEoB/7TUgIODpj2FvD9SoIdvw4bIbXbiQOjh/4oRMsDp1SgJ4gEzESpk5X62aVScAkZm4cwf48Uf5jg4PN11ev75kfHftmvo7OWVVCErLWLr+++9lDh1L1xMREWWSnZ0cSNsQS18vnojI3HFohYjMmru7ZHN8/bXEeTggTKQdnU6qVHfoID/Upk6VSta//y5b06YSyH75ZfOZSR0RIZ8hS5ZIwN2ocWPJgu/SRdq6ZAnw5ZdAZKTEIP/3P5lgMGgQl8ZO46WXJOV27FhJX/z2W2DTJomkZCaDWlUlApMyuH71avpB97i4pz/OL7/I7CxLXtgut129Kv22YIHUNQckpXLoUKlnXLCgps2zVWFhEoBfvjx1We6CBYEePSQIX7du1j5fFQUoXVq211+Xy+7ckTW4jcH5oCCZ32L8TAfk869uXVOAvm5dmRxJ9KJUVd5/CxYAq1YB8fFyubu7vEcHDZLqD5Q1dnbycd61K0vXExER0bMlJclxGcCf1UREOYU/v4jIIjADnsh8KIr8QGvUSIJH06ZJ8GjbNtmqVZNAdrdu2gz0JiQAf/4pGWH//ScD/oAEtPr1k/KtFSqkvs877wADBkg8+csvJRA2erRkkI0ZAwwezKB8Km5uwPz5kiX/5pvAmTPyhhg7Fvj4Y1msOr2g+pNZ7ZlJb/TwkPUEihQxbceOSbn8CROA7dvNZxaIuQoLA2bMkAkMxv+9r6+82V9/neUgNHDhgixLuXy5vJ2N3NyAzp0lAN+8ec58lubPD7RvLxsgc16Cg03B+T17ZFfeskU2QAJ81aqZgvPNm0uFEaKMun8f+PlnCcKHhZkur15dAsSvvcYJH9mJpeuJiIjoeY4eleWw8uYF/P21bg0RkXViMJ6IiIiyLCBAMq0mTZIKFgsXyvISvXpJadTRo6XidU5VME8pPFwGnH/8Ebh1y3R5y5aSBd+xo5TcfxpHR+Dtt6UC+08/AZMnS6Ds/felCsCYMXI9pdCqlURTRoyQf9qUKbJlRoECqQPsT9vSexNdvgyUKwfs3CnRwhYtsud1WRNVlf/N9OnAP/+YLm/USN7Ur7wiZS+s3IkTwOTJdjh/vhY2bdLBxyf13I6iReWtmBv/ilu3JBN4+XIJeBs5OgJt28rnZ7t2ufO5mZKLi2miFSDl8k+cSF3a/uJFICREtlmzZJJAixYy+erVVwEvr9xtc1bFxUn2T5kyUi2Acpaqynvmu+/kfR8bK5e7uEjw/Z13gJo1OZ8qJ7F0PRERET2NsUR9/foy+ZaIiLIfg/FERET0wkqUkGD8xx9LptXs2VIifuhQYOJEycIaPFgyMbPTo0fAmjUyuLxjh+nyIkVkEsCbb0qwJTMcHSWDrF8/yd6bPBk4dw748ENg2jR7tGlTHo0aWU7QKcflyyczMjp3lrrCN25IRNPbO3Uw/cms9iJF5DbPmiHxPMWKyXPOni1vvubNGc0xSkwEVqyQIPyRI3KZTidrM4weLaX9bcDDhzJZaMYMIClJB6Ao9u9P/7b29vKWNL5VnwzWG88XKpT5QaqYGOCPPyQQ+e+/gF4vlyuKLPHRq5fsQuaUZa7TyYSrgAAJlgKylMeePTJgt22bBOs3bZJt0CDZBbt2BTp1yv7P++xw7pwU9fjhB+DuXbmsZEnpA+NWvLi2bbR0er1MjgsNBQ4dMm3G/zcAVKok76nXX5evEModzypd/8UX0icsXU9ERGR7uF48EVHO408tIiIiyjZeXhITHT1a1mGfPl2yyz/5RDKv3noLeO89Cd6/iOPHJQt/2TIgKkou0+mANm0kC75duxcfUHZwkID+669LVe8vvgDOnlXw88+VsHGjivfeA4YN4zIayTp2lLTeqChJMc6tKfXjxsmbYf9+4O+/pQ227P59+X/MmiWVAwBJsX7zTWDkyMzPTrFQqirB7xEjgEuX5LJXXjGgaNEweHn54+ZNO1y9KismXL0q2epJScCVK7I9S8q5JukF7I2nnp6yVMby5bJ0Rlyc6TFq1pQAfPfugI9Pzv0fslvx4kDPnrIBwKlTkuW/apWU2f/nH9neeQdo1syUMV+woHZt1uulTXPnyqQBo0KF5OPq4kWpqPLjj3J5uXKpg/OFC2vRassQHy/FUQ4dMgXfjx41Zb6n5OQkc4HeeUcGejlvSjvpla4fNkwuY+l6IiIi26KqwK5dcp7rxRMR5RwG44mIiCjbubrKAO+gQRKkmTJFknNnzZKB3tdek/LvAQEZf8zYWGDlSokz7t1rurx4cYkzDhiQMxmN9vaSJd+7N7BsWRImTHiEq1fdMGGCTDYYNUoCfnnzZv9zWxwHh9yvdVu4sJRgmDZNZoK0aWObUZ7ISNnBvv9e0rAB6YvhwyX6ZUOlHCIi5GWvXy9/lywpxRPatNFj48YItG3rBweH1JNFEhOlqIMxQG8M0j95/uZNKd9uvDw0NOPtKl9ePkdeew3w9c3GF6yhihVlt/v4Y+D0aeD33+Uz/8gRYPNm2d59F2jSRALznTpJEDw33L4NrFlTDiNH2uPCBdPlrVvL91ObNjJBYs8eYOtWyfQPCQHOnpVt4UK5vZ+fKTDfpInMNbJFMTHSrykz3o8fl0ksT3J1BapVk3Xgq1cHatSQbHgnp1xvNj1DytL148ebStf37y/Hbbm1rxIREZF2zp8Hrl+XgnW1amndGiIi68VgPBEREeUYe3sJPPXsKaWZp0yRgMeyZbK1awd88MGzs+QOH5aB4l9+AaKj5TI7O6BDB8mCf/nl3EnCtrcH+vRRkTfvFjx40A5ffWWPU6eATz8FZs6UpOORI1lyVxPvvy+1p0NDpd5up05atyj3HDokNdhXrDBFxSpVkvIUvXvbVPQrPl4myHzxhSxh4eAAjBkj6yPnySMB96dxcJBVD4oVe/ZzJCVJQP7JIP2TgfsbNyQju0gR+Qzs1UsCktY8T6RCBflff/QRcOaMKTB/6BCwZYtsgwcDjRtLYL5z5+yfu6OqElycOxdYudIe8fH+AKRKwYABMi+lXDnT7d3cgFatZAOksMSuXabg/JEjwMmTss2bJ7epUsUUnG/c2Do/82/dSl1iPjRUJiioatrbenmZAu7G4Hv58lxv1FKkV7r+xx+BtWtZup6IiMgWGEvU16wJODtr2xYiImvGn1VERESU4xTFFPAICgKmTgVWrwY2bJCtXj0JyrdvLyWgY2KAX3+VzMTgYNPjlCkjZVX795cglxbs7IDXXlPRu7cEmiZNknWTP/sM+PpryZIfOdKmEpG1V6CA/OMnT5Y1ETp2lDeStVJVqbs9fbpEOI2aNZPoc6tW1v360/Hff5LtHB4ufzdtKgFZP7/sfR57eylDX7Tos2+n18sa2Z6ethmULF9eAnvjxkkQd/Vq+bwMCZEg97ZtUtDipZckCNily4uVg4+NBX77TQLmISHGSxWULXsPH37ohl697OHq+vzHyZsXeOUV2QApY79jh7R361bJBD96VLZZs+S7rUYNU3C+USPA3T3rryO3qaoU1UhZZv7QIdMKF0/y8UkddK9RQyrSWPMkE1uRsnT94MHyPhg2TILzc+cC9etr3UIiIiLKCVwvnogodzAYT0RERLmqVi0Jypw5I7HEpUuBfftkXeGKFeX6NWuAhw/l9g4OkkE5cKAEO8wlxmhnJxn/3btLBujnn0ugZtIk4JtvpEz2qFFA/vxat9RGjB4NzJkjCxivXGla1NqaxMfLLJUZM+R1AvJG7NFDXn+NGtq2TwPXrgHvvSeBWEAyrWfOlGx0LQOEdna2W878SeXKyWSrDz6QMpjGwHxQELB9u2zDhkkg2xiYf95kB6OzZ6UoxpIlMvkBkGIQPXoAgwYl4ebNHWjXri0cHLLWdi8vKbRhLLZx86a01zih4PRpCf6HhMj3mZ2dZBU1aybfVw0aIEOTAHKSqkqme0QEcOGCbBER8r87dEgmHKSnfPm0Ge8FC+Zmy0kLdevKvmksXX/4sLyPu3SRiRf29nJcZm9v2p73d1bu4+lpnVUniIiIzI1xvXgG44mIchaD8URERKSJ8uWB776TjPJZsySgcuqUbICUPB44EOjb17wDADqdBOS7dpVJBJ9/Dhw7Jknas2ZJkOm99xiYy3GenhKQ/uQTYOJE6RBrqa17967sLLNnS/QZkPrab78tFQFKlNC2fRpISpIs6AkTpJKGTieZ8ZMmSXYzmacyZYCxY2W7cEEmMv3+O3DgALBzp2wjRkjwr1s3CQD6+KR+DL0e2LhR+n/TJtPlpUpJue0BA+TzNjFRxcaN2dv+QoXk8757d/n76lVTYH7bNplscOCAbF99JQHGOnVMwfm6dbO//KeqSkDdGGRPeWrcYmOffn97e1nZImXQvWpVwMMje9tJliO90vWrV+duGxRFKmd07y5Vk4iIiCj73bolk0sBOf4mIqKcYyUjlERERGSpCheWoMW4cVIi9dIlCcA8ax15c6TTycB1586ybPnnn8t6w199JTHUoUMlVmzOEwss3ogRUpbg9Glg+XKZyWHJLlyQ17NokalUhI+PvM6BA202bXD/fgkUHT4sf9euLZN5bLAwgEUrVUpWVRgzRj73jWvM798v5TJ375a3ev36Ephv0UKWNVmwQHYNQL4jWreWstpt2uT+kgBFiwK9e8sGABcvpg7OR0aaXsvnn0sgvl49U3C+Vi3A0fH5z3P/ftpAe8qAe0zMs++vKPLRUaqUbKVLy1alCuDvz/VBKX3G0vVvvy37XkKCTIRKSgISE03ns+PvJy+LjZUlInbsAIYOtYe/f31ERurQrZtUQCEiIqIXt2ePnPr7c5k9IqKcxmA8ERERmQUPD8kgt3Q6nQTkO3UC/vxTMv8PHQKmTAG+/VayNlu3lpLMzDzMZh4epnrYn30mtcqzWp9aS8HBUvN61SrAYJDLqlSRqGWPHhmL3lmhO3dk0s7ChfK3p6dMdhk40HyWr6CsKVFCPv/fe08C2MZS9nv3mraUPD3ls/Tdd4GyZbVpc3pKlgT695dNVSVTfutWU3D++nXTeUBK2DdsKIH5+vUl6J5ewP3evec/d+HCEmA3BttTBt6LF5fy/URZUbu2bLnp4kWZoLNyJXDwoIKwsIIYNkwm6DRuLBnznTtLtQoiIiLKGq4XT0SUexiMJyIiIsoBigJ07Ah06ACsXy+x4ZAQWdZ8zhzT2sJNm5rWFs6TR+tWW4EhQ2RN9fPngR9/lEitpdi6VdJnd+wwXfbyyxKEb9HCskpFZCODAVi6FHj/feD2bbmsf3+Z4MJAjPUpXhwYOVK2K1dMgfk9e6T6wZAhQM+egIuL1i19NkWRiQJly8rHkKpK0Y5t22RX375d3s///ivb8xQs+PRge4kS5v//IMqMkiWlmtDo0cCZM4n48svTCAurhOBgXfKEliFDgCZNTIF5Vh4iIiLKHK4XT0SUexiMJyIiIspBiiLrnb7yiqxvvGaNBGJSri38v/9JAnft2qbyxfXqsXRwluTJI+nTo0bJAuJ9+1pGSmhQENCypUSe7e2BXr0kTbhqVa1bpqmjR6UEubGEYkCArBXeqJG27aLc4eMDDB8um16f+2Xos5OiABUryvbuu7KrHz9uypQPDZW17tMLuJcqxclaZLtKlQJeffUcvv++Ai5f1iVnzAcHy/HU1q3yPdG0qQTmO3ViYJ6IiOh5Hj6U40+Av62IiHIDg/FEREREuUBRZE3jNm3k70uXUq8tfOmSBBz37JEYspOTBOSNmfN16thsdfLMe+cdKfMeGSk1zYcO1bpFz2YwSLTRYADatgW++w4oVkzrVmkqJgaYOBGYNUuCsHnySHWJ4cMtc+UBenGWHIhPj04HVK4s2/DhWreGyDKULg2MHSvb+fOmUvYhIcCWLbINHiwTG7t1k8B8gQJat5qIiMj8HDwIJCXJz84SJbRuDRGR9ePqikREREQaKFEC6NdPKqlfuACcPStx4169gCJFgPh4KWP86afASy/JGskvvyxrZO/fLz+c6SmcnYGPPpLzX34JxMVp257n+eUX6dQ8eeRNYMOBeFWVkuQVKwIzZ0ogvmtX4NQpKVfMQDwREQFAmTKyfElwMHDunFQZqlFDvjc2bwbefhsoXBho1QpYvBi4c0frFhMREZmPlOvF2+hqaEREuYrBeCIiIiKNGdcWfusticteuSLBx3nzJLOrYEEgNlYGl8ePl4x5T09Jop4+XTLC9HqtX4WZefNNWXT22jVg/nytW/N0MTHABx/I+QkTgKJFtW2Phs6cAVq3ljLDV6/KPvH33xKct+H5CURE9BxlyshXaUiIfJd89RVQvbocG/37rxxfFS4s3zE//ABERWndYiIiIm1xvXgiotzFYDwRERGRmVEUoEIFWVd45Urgxg3g2DFg9mwpuerpCTx4IIHKsWOBmjWlDGvHjsA338g62waD1q9CY46OwCefyPmvvpJ/mDn68kuZMFCmDDBypNat0cSjR1KSvnJlCZo4OUlFiLAwCZwQERFlVLlywIcfyjq4Z87I12y1alJR6J9/ZK6et7csG7RkCXD3bvY9t8EAJCZKQZ4HD4B79yQj/8YNmWR26RIQEcHJAEREpK2kJGDfPjnP9eKJiHIH14wnIiIiMnOKAgQEyDZsmAz2HjliWm9+504Z8P3zT9kAIH9+oEkToEMHoHdv61tvOUP69pVA/NmzwLffAuPGad2i1M6elVrsgJw6O2vbHg1s2gQMHSolhgEpJ/ztt0D58tq2i4iILF+5cvLVP26cBOZXrZJJjkeOyPfPpk3AoEFS3l6nk0z6pKTnnz7tOlXNWLt0Ovm+69dPJlLa4Nc/ERFp6OhRmTSWNy/g7691a4iIbAOD8UREREQWRqeT8qvVqwPvvSeDwIcOAVu3SnB+927JxFq9Wrb584Hvv5fMY5tiby8p1q+/DkybBgweLCMO5mL0aCAhAWjZUmZNWBG93pQRePu2nD65nT0r71kA8PGRqg5dunDNQiIiyn7ly8tSP+PHA6dPS2B+1SoJSBw4kPPPb28vEyPt7GTpob//li1fPqBHDwnM163L70AiIsp5O3bIaf36Njppn4hIAwzGExEREVk4e3ugVi3ZPvhASqQGBUk51q+/Bvbvl6yv99+XZcldXLRucS567TWpUXvypPwzJk7UukXi33+ljIGdnUShzXj0/dEjUwD9aYH1J7e7dzOWIWhnJ9X5P/0UcHfP8ZdCRESEChXkeGjCBODUKeD4cVOg3Bg0T3ma3mWZOdXpUn/Nh4cDP/0kW2Qk8N13svn6SlD+9deB4sW1+/8QEZH1UlXghx/kPJcEIyLKPQzGExEREVkZBweZ5V6/PjBwoJS2X7dOYtIrVwILFgDNm2vdylxiZwd89hnQvbsE44cPB7y8tG1TYqJpffihQ4FKlXLlaVUVuH8/c0H1O3ckgy+rPDxkyYSnbc2bA35+2fcaiYiIMqNiRdlyk68v8MUXwOefS0WjpUulklF4OPDRRzJJoHlzCcx37gy4uuZu+4iIyHrt2AGEhcl3S9++WreGiMh2MBhPREREZMWKFQPWrpVt6FApDd6ihfzwnjEDKFBA6xbmgi5dgCpVpBbt9OkyK0FL8+ZJpn6BAlnO1E9IAKKiMhdUj4qS8vFZYWf37KB6yq1AATn18pKJIURERJSWTidB9+bNgblzgd9/l8D8jh3Af//JNngw0K2bBOYbNTLrQjpERGQB5syR0759ZakUIiLKHQzGExEREdmATp2AZs0k42rePCmNumGDJIv36WPlg7s6HTBpEtCxIzBrlmSlFyqkTVtu3ZKa7AAweXKqEZArVyRLISOB9ZiYrDchT57MB9Y9PKz8PUJERKQhd3fgjTdki4iQ47SlS+X8Dz/IVqaMBE/69gVKl9a6xUREZGkiI6ViHgAMGaJpU4iIbA6D8UREREQ2Im9emQnfp4+Urw8LkwHdn36S0vVly2rdwhzUvj1QqxYQFARMmSJlAbQwYYLUiq9eHXjzzeSLr1yRNWwfPsz4QymKZJ9nJrDu5QU4O+fA6yIiIqJsUbq0zNv7+GNg924Jyq9cCZw/LwV1Jk4EGjeWbPmuXSWQT0RE9DzffSeV0po0AQICtG4NEZFtYTCeiIiIyMbUrQuEhkrF9s8/lzKoAQEy8Dt6tJWWFlcUebFt2khpgNGjgaJFc7cNhw4BCxfK+VmzpPb7Y/PmSSC+YEHpi4wE1vPlk6R/IiIisj46HfDSS7LNni1LDi1dCmzZIqXsd+yQJYi6dAH695fgCo8LiIgoPfHxwPffy/mhQ7VtCxGRLWIwnoiIiMgGOTgA48bJOqTvvCMDu+PGAcuXy4/0unW1bmEOaNUKaNAA2LNH1o03LpiXG1QVGD5cTnv2lIVfH4uLkywFQCoUdO6ce80iIiIi85cnj1Q26tNHygwvWyaB+fBwOb9sGVCiBPD665IxX7681i0mIiJzsnKlrJhWrJis3kZERLmLc2aJiIiIbFi5csDmzTKgmz8/cOwYUL8+MGwYEB2tdeuymaLI2vGAZKhfupR7z71ihdSadXEBpk5NddUvv8g68CVLcmCEiIiInq14cWD8eODUKWDfPmDQIFmK6NIlYPJkwNdX5h4uXCgr4xARERnnob/7LmDP9EwiolzHYDwRERGRjVMUWTv+1Ck5VVX5sV6pErBundaty2ZNmwLNmgEJCcAXX+TOcz58CIwdK+fHjZNR9MdUVSrWA1IuMEXleiIiIqKnUhSpZLRgAXD9OvDbb7Iaj04H7N0LvP02ULiwHNudOaN1a4mISCsHD8rm6Ai89ZbWrSEisk0MxhMRERERAFmHfOlSyZQvWxa4cgXo1EnKpl+5onXrspExO/6HH4Bz53L++aZMAS5fBkqVAsaMSXXVtm1AWBjg6gq8+WbON4WIiIisj7Mz0KMHsHGjHHJMmwb4+wOPHkkJ+0qVgMGDJWhPRES2Ze5cOe3RAyhUSNu2EBHZKgbjiYiIiCiVFi2kXP24cVLCbu1awM9PfsTr9Vq3LhvUrw+0bi0v5vPPc/a5LlyQEXEAmD5dytSnYMyK79cP8PTM2aYQERGR9StSROb+HTsmmZDt2gFJScD8+TLZ8uOPrXApIiIiStetW1I5BZBKbEREpA0G44mIiIgoDRcX4MsvgZAQoE4dICZGfrw3bCiDuxbPmB3/889Snz+njB0raWlNmkiJgRTOnQP++kvODx+ec00gIiIi26MoQK1awPr1wI4dUtI+NlZW6SlTBvjmGyA+XutWEhFRTlq4UFZoq11bNiIi0gaD8URERET0VFWqAHv2yBry7u7A/v1AjRrA+PFAXJzWrXsBNWsCHTsCBgMwcWLOPMe2bcDvv8virbNmyah4CnPmyJrxrVsDFSvmTBOIiIiIXnpJ1pFfs0aOOe7cAUaNAipUAH76yUoqHxERUSrGqigAs+KJiLTGYDwRERERPZOdHTBkCHDihKwhn5QEfPUVULkysGWL1q17AcYS9StWAEePZu9jJyUBI0bI+XfekVkNKURHA4sXy3njzYiIiIhyiqLIcdyxY5Ip6eMDXLwoS+VUrw5s2CCTBImIyDr8+Sdw+TJQsCDQrZvWrSEism0MxhMRERFRhhQrJhlVa9YARYtKmfUWLWQQ9/ZtrVuXBVWqAN27y/lPP83ex/7+exnt9vRMd136H3+U0v8VKgAvv5y9T01ERET0NPb2wFtvAWfOAFOmAPnyySHLK6/Iqjr792vdQiIiyg5z5sjpwIGAs7O2bSEisnX2WjeAiIiIiCxLp05A8+ZSqn7ePClvumEDMHMm8PrraaqxQ1Vlnbr4eFk+Pb3TZ133rNvWrg0MG/YCL2biRCklv24dEBICBAa+wIM9FhUFfPyxnJ80CcifP9XVBgPw7bdyfvhwqWJPRERElJtcXID335cgzf/+B8yeDezcCdSrB7z6KvDll4Cfn9atJCKirAgLk1XT7OykUBsREWmLwXgiIiIiyjQPD5lp36ePDOKGhUmG/IQJcv2TQfOc8vPPQKlSQPv2WXwAPz+gVy95oE8+kVkFL+qTTyQgX7kyMGhQmqs3bgTOngXy5gX69n3xpyMiIiLKKk9PyZAfNkzmKC5ZInMU//wTeOMNuaxYMY0bSUREmTJ3rpy++ipQvLimTSEiIjAYT0REREQvoG5dIDQUmDED+OwzIDLy+fdxdAScnGRzds7YaXqXHToErF4NDB4MNG4sEwSy5NNPgV9/lSj5vn2SEpZVx44B8+fL+VmzpBbsE2bNktO33gLc3LL+VERERETZpVgxYNEiYPRoqX60bh2weDHwyy8SqP/wQ8DLS+tWEhHR89y7J9XrAGDoUE2bQkREjzEYT0REREQvxMFBBmjfeAMID392YN3RMfvKssfGAocPy9r148eb1sTLtHLlgP79ZcT544+B//7L2uOoKjBihNSh79IFaNo0zU2OH5eH1+k4MEJERETmx88PWLtW5id+8AGwaxcwbRqwcKEc7w0fLiXuiYjIPC1dKr+V/f1l0joREWmPK1QSERERUbbw9gYaNQJq1QKqVAF8fYGSJeXyfPkkGJ+d66O7ugLffy/n580D9ux5gQf7+GOZVbBlC7B9e9YeY80aWZjP2RmYPj3dm8yeLaevvirl9YmIiIjMUb16wI4dwPr1svLOvXsSjC9fXjLok5K0biERET3JYDCVqB86FFAUbdtDRESCwXgiIiIisljNmgEDBkhS+sCBL7A+fcmS8gCABOZVNXP3j4uTuq4AMHZsupH2qChg2TI5P2JEFttJRERElEsUBWjXTpYG+uknOVy6ckUOmSpXlgz6zB4yERFRzvn3X+DMGSBvXqBPH61bQ0RERgzGExEREZFFmz5dsu9PngS+/PIFHmj8eKmnv3s3sHlz5htx8aIsuPrBB+neZOFCidlXqyYVBIiIiIgsgZ0d8PrrwOnTwNdfA/nzA6dOAZ07A/XrSwY9ERFpz7h02xtvAG5u2raFiIhMGIwnIiIiIovm6WkadPjqKyAsLIsP5OMDvPuunM9MdnxkpDwxIIuq5smT5iaJiaY2jhjBcoFERERkeZycgJEjgXPngAkTZMmg/fuBJk0kg/7oUa1bSERku86dAzZulPODB2vbFiIiSo3BeCIiIiKyeF26AB07StD7rbcAvT6LD/ThhzKyfPAglA0bMnafDz6QlPeGDYEePdK9ydq1wOXLQMGCQM+eWWwbERERkRnImxeYNEkCP+++C9jbSwCoWjU5Jlu0CDh/niXsiYhy0/z58rnbujVQvrzWrSEiopQYjCciIiIii6cowNy5gIcHcOAAMG9eFh/I2xsYNgwAYPfZZ4DB8Ozb794N/PqrNGD27KemvM+aJafvvAM4O2exbURERERmpHBhOeY6eVLmI6oqsGaNrClftixQujQwYADw88+y1jwREeWM2Fhg8WI5P3Sotm0hIqK0GIwnIiIiIqvg4wNMmSLnx40DLl3K4gONHQu4u0M5cgRF9u9/+u30emD4cDn/1ltA9erp3iw4GNi7F3BwMFXBJyIiIrIW5coBv/0GHDokK/00aCDZ8hcvAkuWyHrzxYoBFStK6eTffwdu39a61Rl34waweTMwcyYwYwawYYNk/me5EhMRUTb75Rfg3j2gTBmgTRutW0NERE+y17oBRERERETZ5e23ZSBi924JfK9fn4X12fPnB0aNAj7/HBV//RX47DOJpD/phx9k1DlvXmDy5Kc+nDErvnt3oEiRTLaFiIiIyEJUqybb558DDx4Ae/YAW7fKFhICnD4t2/z5cvvKle1RqlQADAYFzZrJIZWW4uKAEyeAY8eAo0dlO3YMuHkz/ds7OwO+voCfn2wVK8qpry8rIRFR7lFVYM4cOT9kCKBj+iURkdlhMJ6IiIiIrIZOByxcCFStKmuX/vYb8NprWXigUaOgzp4Nj8hIJK1cCfTtm/r6e/eA8ePl/MSJshh8Oq5dA1askPMjR2ahHUREREQWyM0NaNVKNgC4exfYudMUnA8LA44dU3DsWFn89Zccw9WsCTRrJluDBoCra860TVUlaz9lwP3oUSA8PP0VihRF1l+uXBmws5Oy/OHhwKNHpsdISaeTEv3G4HzKYL2nZ868JiKyXbt3y+eQiwvwxhtat4aIiNLDYDwRERERWZWKFaVE6scfSxX5li2BAgUy+SD58sEwahTsPv0UdpMmAb16Sb1Vo88+k/qqfn6SfvAUCxYAiYlA/foywExERERkizw9gY4dZQOk9Pt//yVh2bJInDtXCmfPKjh4EDh4EPjf/6QoUb16QNOmEpyvUwdwcsr8896/L8H2J7PdY2LSv33+/ECVKqm3SpXSTgzQ64GICODUKQnOnzxpOn/vHnDunGwbNqS+n7d32kx6Pz9ZbinT1ZyIiGDKiu/ThxN+iIjMFYPxRERERGR13n9fMtLDwoD33gN++inzj2EYOhRJM2bA6exZYNkyU5rByZOmEY9vvkm/hD0kW2rBAjk/YkTmn5+IiIjIWnl7A927q3BzO4q2bYvh+nUHbNtmypyPjJRM+p07ZQ6kiwvQsKEpc75GjdTzJJOSgDNnTAF3Y9D94sX0n9/BQYLsxoB75cpyWrhwxoLidnZAuXKyvfKK6XJVlYkGKYPzxu3KFbnuxg1g+/bUj+fmljo4bzxfrlzq10lElNKVK8CaNXJ+6FBt20JERE/HwzkiIiIisjqOjsCiRZJRtWwZ0Lu3qUxqhrm740znzgj48UdZ/LR3bxm5HTlSRnw7dABefvmpd//tN1ljtFgxoFOnF3k1RERERNateHFZFahvXwlonzsnQXljgP7mTWDzZtkAwMMDaNxYskCPHZO13uPjn/7YKQPuVarIuu5PmU/5QhRFAvqFC0tWf0oxMaYAfcpA/dmzwIMHQHCwbCkVKSKVnt55B8iXL/vbS0SW7bvv5KfpSy/JZxsREZknBuOJiIiIyCrVqSODl7NmAYMGSZa8m1vmHuNCmzbw37QJyoULwJIlMiL6778S7Z8586n3U1V5XkCq2OfEYC8RERGRNVIUU9b522/LcdWJE6as+e3bpRT8X3+lvp+bGxAQkDrbvXJl8ynb7O4O1KolW0oJCTL5IGUW/alTsl27BowbB0yeDAwcKHNCS5TQpPlEZGbi4yUYDzArnojI3DEYT0RERERW64svgHXrpETpJ588M36eLr2TEwwffAC7UaOASZMAZ2e54r33gLJln3q/XbuAw4elpOrAgVluPhEREZHNUxTA31+2YcNkvfbDhyVrPi7OlPFeqhSg02nd2sxzdDSVp08pIQH49Vdg+nSZVPr118Ds2UCPHsDYsUC1apo0l4jMxOrVUjWkaFHg1Ve1bg0RET2LBR6iEhERERFljJubad32WbOAgwcz/xiGN9+UWvNXrkjaUpEiwPjxz7yPMSu+Tx8gf/7MPycRERERpc/ODggMBMaMAT7+WIJQZcpYZiD+WRwdgX79gKNHgb//Bpo1k4kIy5cD1asDLVtKwSZV1bqlRKSFOXPk9J13WImNiMjcWdlhKhERERFRaq1bS1DcYADeegtITMzkAzg7AxMmmP6eMkXqjD7FhQuSjQ8AI0ZktrVERERERCaKIsezW7bImvI9e8qEhP/+A1q1kgz5ZcuycIxLRBYrJATYt0+C8G+/rXVriIjoeRiMJyIiIiKr9/XXQIECwLFjwLRpWXiAN94AOnUC+vcHevd+5k3nzpXAf4sWUk6ViIiIiCg7BAZK6fqzZ4Hhw4E8eSRzvm9fqQ4wYwYQHa11K4kopxmz4rt3B7y9tW0LERE9H4PxRERERGT1ChQAvvlGzn/+OXD6dCYfwNERWLMGWLLkmTVQHz4EFi2S88yKJyIiIqKcUKqULIt06RIwebIE4y5fltL9xYsDH3wgKywRkfW5fVsm5QDA0KHatoWIiDKGwXgiIiIisgm9ekmJz/h4KeVnMGT/c/z0E3DvHlCuHNC2bfY/PhERERGRkZcXMH68LJO0cCFQoYJkxk+dCpQuLUWdwsK0bmVaCQnA8eOcMECUFYsXy2/awECgTh2tW0NERBnBYDwRERER2QRFARYskHKeO3fKgGV2MhgkQwkAhg17ZgI9EREREVG2cXYG3noLOHEC+PNPoFEjWUN+6VKgcmWZJLptG6CqudsuVZWJAn/9BfzvfzrMmBGIatXskScPEBAAFCsmWf69eslST4cPA3p97raRyJLo9cC8eXJ+6FD5jUtERObPXusGEBERERHllpIlpZTnyJHA++8Dr7wC+Phkz2P/+6+Uv3d3lywkIiIiIqLcpNMB7dvLduAAMG2arLT099+yBQZKKfuuXQH7bB4VjooCjh1LvYWFATExxlvYASiWfHt3d1ni6eJF2Yxlt93dgbp1gfr1gQYN5Ly7e/a2lchS/fWXLE+RPz/Qs6fWrSEiooxiMJ6IiIiIbMrQocDy5cDBg8CQIcDatdmTUWDMih8wAPDwePHHIyIiIiLKqjp1gN9/B86eBWbOBJYsAUJCgNdeA8aNA0aNkuNWN7fMPe6jR8DJk2kD71evpn97BwegYkXA398AB4dT6NLFF9Wr26N4ceDBA5k0sGePbPv3S/B+82bZAJlgUKWKBOaNAfoSJZgRTLZpzhw5HThQKmIQEZFlYDCeiIiIiGyKnR2waBFQowbwxx+SLdSly4s95qlTwKZNMig4bFj2tJOIiIiI6EWVKydlrT/7TE7nzJHS8SNGABMnAoMHy2TVwoVT389gACIi0gbdz5x5ein5kiWlLH7KzdcXcHQEEhP12LjxDNq2LQ8HB7m9uzvQooVsgDxuWJgpOL9nj2TNHz4s29y5cjsfHwnKGwP01aplf6Y/kbk5eRLYskUmqLzzjtatISKizOBhChERERHZnMqVJSNo0iQZfGzWDPD0zPrjffutnLZvD5Qtmz1tJCIiIiLKLgULAp9+CowdK2vJz5gBnDsnSzhNnw68/rqs424Muh8/LmXk0+PpmTboHhDw4tWh7OyAqlVlGzxYLrtyBdi71xScP3RILlu5UjYAcHWVSgDG4Hy9ekC+fC/WFiJzY5yM0qGDTHwhIiLLwWA8EREREdmkjz4CVq2SrPb33wcWLsza49y7JwOagGQYERERERGZK1dX4N13gbffBtatk3XlDxyQylFPcnICKlVKHXCvXBkoWjT3ysT7+ADduskGyASBoCBTcH7fPjke37ZNNkDa5u+fOnu+TBmWtifLFR1t+s3JSmxERJaHwXgiIiIisklOThKAb9RIBh979QKaNs384yxeLIOCAQFZuz8RERERUW6zs5Olmjp3lqD2vHlAXFzqbPdy5cyv/HuePECTJrIBUk7/xInU2fPnzkm5+7Aw4Lvv5Hbe3kBgoATpjZufnzwekblbuhR48EDes/zNSURkeczscIqIiIiIKPc0bCiZQfPnS3bQ0aOAi0vG75+UZCpRP2IEs22IiIiIyLIoihwTN2yodUuyRqeTSbEBAXI8DwDXr5uC83v3AiEhwI0bwMaNshkpClCqVOoAvTFIn5nfBEQ5yWAA5syR80OH8jcnEZElYjCeiIiIiGzaV18Bf/4JnD0LfP65/J1Rf/4JXLwI5M8P9O6dc20kIiIiIqKMKVxYMv47d5a/4+IkIH/0KHD8uGm7fRuIiJBt/XrT/RVFyto/GaSvWBFwdtbmNZHt2rIFCA8H3N2B11/XujVERJQVDMYTERERkU3Lm1fKcnbsKGtm9ugBVKuWsfvOmiWnb7/N7BkiIiIiInPk4pJ+9v/Nm6mD88YtKkpK3Z87J5NvjXQ6oGzZtEH6ChVkCSyinGDMiu/fXwLyRERkeRiMJyIiIiKb16ED0K0bsGoV8OabwIEDz7/P4cPAzp2y3ubgwTneRCIiIiIiykaFCsmWcg1uVX16kP7uXeDMGdnWrTPdx84OKFdOSuU/mUlvZ5frL4usSEQE8Ndfcn7IEG3bQkREWcdgPBERERERgNmzgc2bgdBQ4JtvZA34ZzFmxXftChQrluPNIyIiIiKiHKYogLe3bM2amS5XVVmLPr0g/f37wOnTsq1ebbpPqVLAyJHAgAHMaKasmT9f3nsvvywVGIiIyDIxGE9EREREBFlbcsYMyYz/5BPglVeeftubN4Hly+X8yJG50jwiIiIiItKIogBFisjWooXpclUFrl5NG6APCwMuXJDfCp9+KstaDR/OSbyUcbGxwKJFcn7oUG3bQkREL0andQOIiIiIiMzFG29IBkxcHDBkiB1UNf3bffcdkJAA1K4N1K2bu20kIiIiIiLzoCiAj49kLo8aJcHTfftk8u6CBZLNfP8+MG0aULo00KePVOKydDduyO8hyjm//SZLI5QqBbRtq3VriIjoRTAYT0RERET0mKIA338PODsDW7fqsHVr8TS3SUgA5s2T888rZU9ERERERLbHxQUYNAg4cULW/G7SBEhKAn75BQgMlHXq168HDAatW5px588DX30FVK0qVcUKFwbeekuW+kpK0rp11kVVgW+/lfNDhgB2dtq2h4iIXoxZBOOXLl2KgIAAuLi4oGbNmti3b98LPV5ERAS6du2K/Pnzw97eHj4+Pvjmm2+yp7FEREREZNXKlgU+/1zOL1kSgBs3Ul+/cqWsF1mkiKwXT0RERERElB6dTpa/2rYNCAkBevcG7O2B7duB9u2BSpWk6lZcnNYtTd/ly8DMmVIRrGxZYPx44OhRue7uXWDxYqkKULQoMHgwsHOnZU0wMFd79wKHD8sk8QEDtG4NERG9KM2D8dOnT0f//v3x4MEDvPvuu9DpdGjRogXOnDmTpce7fPky6tSpg9WrV8PHxwcvv/wyoqKiMGrUKEyfPj2bW09ERERE1mjUKKBaNRUPHjjivfdMaQiqCsyaJecHDwYcHTVqIBERERERWZQaNYCff5YM87Fjgbx5gdOngXfeAUqUkLXlb97UupXShnnzgJdeAooXB0aPBoKCZGJBixZSiv/WLZlgMGgQUKCA/D1/PtC4sdxnzBgdTp/2fOqyX/Rsc+bIae/egJeXtm0hIqIXp2kw/sKFC/joo49QtmxZHDp0CDNnzsSePXtQvnx5jMhizc8PPvgAUVFR+Pnnn3H06FFs3LgRQUFBcHV1xZdffgm9Xp/Nr4KIiIiIrI29PfDdd0nQ6QxYtUqHv/6Sy/ftA4KDAScnGXgiIiIiIiLKjOLFgalTgchI4OuvgZIlgdu3pTpXiRJS+v3EidxtkzHLvWVLqQA2ZAiwa5dc16gRMHcucPWqlKR/800JwDdpAixYIJdv2gS88YZMMLh6FZg92w4ffPASKlSwxwcfAIcOgYH5DLp2Dfj9dzk/ZIi2bSEiouyhaTD+p59+QkJCAj755BN4enoCABwcHDB69Gj8888/uHPnTqYe7/79+/jjjz8wdOhQ9O7dO/nygIAAtGzZEnfv3sWFCxey8yUQERERkZWqXh3o2PEcAMmCj442ZcX36gUULKhh44iIiIiIyKK5uwMjRwJnz8pSWHXqAPHxEhT39wfatgW2bMm5IHZMjKxh37494O0tkwD++0/KzNeqBcyYAVy6JKXnBw+W26THwQFo1Qr44Qfgxg3gzz+Bnj0NcHZOwoULCqZOlaoAFSsCn3yS+xMNLM333wNJSUCDBvKblIiILJ+mwfi9e/dCURS88sorqS5v1qwZDAYDdhmn32VQ3rx5ce/ePUyZMiXNdQkJCQAAe3v7rDeYiIiIiGxKz56nUbasisuXZa2+1avl8iwWcSIiIiIiIkrF3h7o1k2qcO3eDXTuDCgK8PffUha+enXgp5+Ax8PbLyQuTrKuu3UDChUC+vQB1q8HEhOBKlWAyZNlcsDBg8B770kWf2Y4OUlw/6ef9Fi6dBN+/TUJXbvK2ufh4cCkSTLRoHJl03ORSUKCVBsAgGHDtG0LERFlH02D8Tdu3ICPjw+8nlj4xMfHB05OTjh//nymH9Pe3h5OTk6pLnv48CF27tyJwoULo0SJEi/UZiIiIiKyHU5OesybJ8scrV4N6PVSjrFqVW3bRURERERE1kVRJBt69WrgzBlg6FDA1RU4cgTo1w8oXRr43/+kpHxmJCRIwL1PHwnAd+smAflHj4Dy5SVb/fhxeZ7x44GyZbPn9Tg56dGli4pVq2QdemMWvoMDEBYGTJggz1+zJjBtGnDxYvY8ryVbswa4fl2WCujUSevWEBFRdsmRNPE1a9YgNDT0mbepUaMGoqOjUfAp9T3z5s2Lq1evZkt75syZg4cPH2L06NFQFOWpt4uPj0d8fHzy39HR0QCAxMREJCYmZktbMsP4nFo8N+U89q9tYX9bL/atbWF/2xZjPzdsmID+/XX48UeZxzpkSBISE7ngoaXh/mtb2N/Wi31rW9jf1o39a1vY35lTogQwc6YErBct0mHuXB2uXlUwbhwwaZKK/v0NGDbM8NTAeVISsH27glWrdFi7VsG9e0qKx1bRrZsB3bsbUK2aTAIAJDs+uzzZ387OMgmgWzeZTPDnnwpWrtRh61YFISEKQkKA998H6tY1oHt3FV26GFCkSPa1x1J8+60dAB3eeksPRTFka59kJ+7PtoN9bd3Yvy8mM/83RVWzf9WZ/v37Y+nSpc+8Tb9+/bBv3z4ULFgQu3fvTnN98eLF0b59e8ybN++F2hIZGQl/f3+4uroiPDwcHh4eT73txIkT8dlnn6W5fPny5XB1dX2hdhARERGR5XrwwAEffNAIbm6J+PLLXbCz07pFRERERERkKxITFezeXQx//FEWFy7kBQAoioo6da6hY8dzqFgxCqoKnDzphd27i2Hv3qK4f99UPdbT8xEaNLiChg2voEKFu3hGvlquun/fEfv2FcXu3UVx/HgBqKo0TFFU+PvfRsOGV1Gv3lXkzZsNNfrN3PnzefHee01gZ2fAwoX/wssr/vl3IiIizcTGxqJXr164f//+M2PPQA4F4zOqRo0asLe3x8GDB9NcV7hwYbzyyitYtGhRlh9fVVW0bNkSW7Zswe+//44uXbo88/bpZcYXL14ct2/ffu4/MickJiZi8+bNaNmyJRwcHHL9+SlnsX9tC/vberFvbQv727Y82d+qCrMZtKLM4/5rW9jf1ot9a1vY39aN/Wtb2N/ZQ1WBrVsVzJqlw6ZNphVoa9Qw4MYNBVeumH6w5M+vonNnyTRv2FDN1QnFWenvq1eBNWt0WLlSwf79ptdmZ6eiWTMVHTuqaN3aAGtdhXbQIDssWaJDjx4GLFum17o5z8T92Xawr60b+/fFREdHo0CBAhkKxudImfqMKlq0aLqBeL1ej6ioKOTLl++FHn/q1KnYsmUL3nzzzecG4gHAyckpzXrzAODg4KDpG1Hr56ecxf61Lexv68W+tS3sb9vC/rYu7E/bwv62Xuxb28L+tm7sX9vC/n5xrVvLdvw48PXXwLJlQGioBK89PIDOnYEePYDmzRU4OGhb0isz/V2yJDBqlGwXLwIrVwIrVgAhIQo2b1aweTMA2CEgAGjbFmjXDqhXT9agt3RRUcCvv8r54cN1cHDQPfsOZoL7s+1gX1s39m/WZOZ/pumnetWqVXHr1i1ERkamuvzQoUNITEyEt7d3lh97x44dmDBhAipXrozZs2e/aFOJiIiIiIiIiIiIiMyCvz+waBFw6RIwdy6wdi1w4wawZIkE6y05rlKyJDB2LBAcDISHA19+CTRoAOh0QFgYMHUq0LgxULCgTDxYuhS4eVPrVmfd4sXAo0dA9eoywYCIiKyLpsH4du3aAQAWL16c6vJfH08De+mll7L0uGfPnkXXrl3h6uqK1atXc713IiIiIiIiIiIiIrI63t7A4MHAq68Czs5atyb7lS8PjBsH7N4tAffly4HevYH8+YH79yWDvn9/oHBhoHZt4LPPgKAgwGDQuuUZo9cD8+bJ+aFDuTQaEZE10rRMff369VGzZk1MmTIFNWrUQIcOHbBu3TrMmzcPvr6+qF27dqYf88aNG2jZsiWioqLwxx9/oHz58jnQciIiIiIiIiIiIiIiyi358wOvvSabXi9B9w0bgI0bgdBQ+TsoCJg4EShUCGjTRsrZt2wJvOCKuNlCrwciIoCTJ4FTp+T06FHgwgXAy0teFxERWR9Ng/EA8Msvv6BZs2bo2LEjXF1dERsbC1dXVyxZsgRKimlga9asQWhoKN58802ULl36qY83btw4XLhwAb6+vti/fz/279+f6vouXbqgevXqOfZ6iIiIiIiIiIiIiIgo59jZAXXryjZpEnD1KrBpkwTnN2+WLPqlS2WzswMaNjStNV+pUs5moMfFSXn9kydTB97Dw4H4+PTvM3w44OKSc20iIiLtaB6M9/X1xdGjR/Hll1/iwIEDKFWqFD755JM0Ge1//vknli5dihYtWjwzGL97924AQHh4OCZPnpzm+nLlyjEYT0RERERERERERERkJYoWBQYMkC0hQcrab9wowflTp4AdO2T74ANZk75tW9maNQOyusrt3bumgHvKoHtEBKCq6d/H2RmoUAHw8zNtlSrJRkRE1knzYDwAeHl5Yfr06c+8zY8//ogff/zxuY8VHh6eTa0iIiIiIiIiIiIiIiJL4ugoQfZmzYDp04Hz5yUwv3EjsG0bcPEiMH++bE5OQNOmkjHfti1Qpkzqx1JV4MqV9IPuN248vQ2enqkD7n5+QMWKMhHAzi5nXz8REZkXswjGExERERERERERERERZbcyZYChQ2WLjZWA/IYNsl26JOXtN20Chg2TgHmLFkB0tCnwHhPz9McuVixtwN3PT9asz8lS+EREZDkYjCciIiIiIiIiIiIiIqvn6ipZ8O3aSdb7iROmrPnduyX4fupU6vvY2QHlyqUNulesCLi7a/M6iIjIcjAYT0RERERERERERERENkVRAH9/2caOBe7fBzZvlqB8wYKmLPdy5aT0PRERUVYwGE9ERERERERERERERDYtb16ga1fZiIiIsotO6wYQERERERERERERERERERFZGwbjiYiIiIiIiIiIiIiIiIiIshmD8URERERERERERERERERERNmMwXgiIiIiIiIiIiIiIiIiIqJsxmA8ERERERERERERERERERFRNmMwnoiIiIiIiIiIiIiIiIiIKJsxGE9ERERERERERERERERERJTNGIwnIiIiIiIiIiIiIiIiIiLKZgzGExERERERERERERERERERZTMG44mIiIiIiIiIiIiIiIiIiLIZg/FERERERERERERERERERETZjMF4IiIiIiIiIiIiIiIiIiKibMZgPBERERERERERERERERERUTZjMJ6IiIiIiIiIiIiIiIiIiCibMRhPRERERERERERERERERESUzRiMJyIiIiIiIiIiIiIiIiIiymYMxhMREREREREREREREREREWUzBuOJiIiIiIiIiIiIiIiIiIiyGYPxRERERERERERERERERERE2cxe6waYM1VVAQDR0dGaPH9iYiJiY2MRHR0NBwcHTdpAOYf9a1vY39aLfWtb2N+2hf1tXdiftoX9bb3Yt7aF/W3d2L+2hf1tW9jf1o39azvY19aN/ftijLFjYyz5WRiMf4aYmBgAQPHixTVuCRERERERERERERERERERmYuYmBjkzZv3mbdR1IyE7G2UwWDA1atX4e7uDkVRcv35o6OjUbx4cURGRsLDwyPXn59yFvvXtrC/rRf71rawv20L+9u6sD9tC/vberFvbQv727qxf20L+9u2sL+tG/vXdrCvrRv798WoqoqYmBgULVoUOt2zV4VnZvwz6HQ6FCtWTOtmwMPDgzuCFWP/2hb2t/Vi39oW9rdtYX9bF/anbWF/Wy/2rW1hf1s39q9tYX/bFva3dWP/2g72tXVj/2bd8zLijZ4dqiciIiIiIiIiIiIiIiIiIqJMYzCeiIiIiIiIiIiIiIiIiIgomzEYb8acnJzw6aefwsnJSeumUA5g/9oW9rf1Yt/aFva3bWF/Wxf2p21hf1sv9q1tYX9bN/avbWF/2xb2t3Vj/9oO9rV1Y//mHkVVVVXrRhAREREREREREREREREREVkTZsYTERERERERERERERERERFlMwbjiYiIiIiIiIiIiIiIiIiIshmD8URERERERERERERERERERNmMwXgiIiIiIiIiIiIiIiIiIqJsxmC8lVNVNd3zRERkXvh5TWSduG9bF/ah7WLfW6f4+Hitm0C5gPuv9Tt+/DiOHz8OgP1t7XhsbVvY30RE5o+f1RnDYLyVUxQlzXnuENbLYDBo3QQiyiJ+XhNZJ+7b1iVlfxqxP61XREQEjh07BkD6nn1tXXbv3o133nkHV65c0boplMMePXoEgJ/X1urgwYOoXLkymjZtijt37qT7XU3Wg8fWtoX9bVs4rk1kmfhZnTH2WjeAcs6FCxewa9cuhIWFoUCBAqhZsyYaNmwIBwcHqKrKHygW7vLly7h8+TIAwMvLC76+vtDpZH4N+9f6REVFwcvLS+tmUA45fvw4Fi5ciCtXrqBixYro0KEDatSoATs7O+7PVob7sm3hvm1d7t27h9OnT2P37t3w9PREq1atUKRIkeTjL7Ieqqri/v37qF+/PurVq4dPP/0UVatWTQ7Ic9+1fPv370ezZs1Qrlw53Lt3Dz4+Plo3iXLIvn37MHbsWPz111/w9PTUujmUzfbt24dmzZrB29sbt27dwl9//YX+/fvDYDDw+9kKhYeHY9WqVThy5AjKlCmDTp06oWbNmrCzs9O6aZQDOK5t3TiubVs4Fma9OO6VcYrKKQpW6eDBg+jatStu3LgBvV4Pg8EALy8vDBgwAJMmTYKTkxN3BgsWFBSETp06ITY2Fg8ePIC7uzs6dOiA9957D5UqVeKHnZWJiIjAwIED0adPH/Tv31/r5lA2CwoKQrNmzfDw4cPkQX4/Pz+MGTMGffv25cCCFeG+bFu4b1uXq1ev4ssvv8TSpUvx8OFDAEBgYCDGjx+PV199lcdcVqp169bYvXs3evTogaFDh6J69eoAOEBo6fbv34+mTZuiatWq+OKLL9CiRQutm0Q5qG/fvli5ciVu374NNzc3rZtD2ci4L1erVg0ffvghRo4ciUaNGuGnn37SummUAw4ePIguXbrg1q1byJMnD2JiYlCuXDlMmTIF7du317p5lM04rm3dOK5tWzgWZr047pU5nCZqhSIiItCzZ08UKlQI8+bNw9GjR7Fq1Sp4eXlh+vTp+Prrr6HX6/mFZqFu3ryJ/v37I3/+/Fi0aBEOHDiAr776Cv/88w969OiB77//HgkJCSylaUUSEhJw4MABzJ07F8uXL9e6OZSNLly4gG7dusHOzg5Tp07Fvn37MH36dNy5cwdff/118rqHLNVlHbgv2w7u29ZDVVUYDAYsXboUq1evRq9evbBnzx58++23uHbtGmbMmIHY2Fitm0k5pFKlSoiNjcXy5csxc+ZMlqy3Avv27UOLFi1QuXJlTJo0KTkQr9frAZjKKbJ/rUfDhg2RkJCAjRs3Aki/b9nflscYiK9cuTI+++wzdOzYET169MDWrVtx7tw5rZtH2Sw8PBzdu3dHwYIF8d133+HYsWP47bffEBUVhfnz52vdPMpmHNe2bhzXtj0cC7NOHPfKApWshsFgUFVVVRcuXKjmy5dP/fXXX1Ndf+TIEdXHx0etWbOmevny5VT3Ictx6NAh1c7OTp0wYUKqy6OiotSXX35ZLV++vDp27Fg1Li5OVVX2saXT6/XqnTt3VG9vb1VRFDUgIEBduXKl1s2iF2TcL3/66SdVURR13LhxydfFxsaqM2fOVBVFUcePH69VEymbcV+2Ddy3rVN8fLxavnx5tXv37smXJSQkqLNmzVIVRVH/+usvDVtHOcG4L//777+ql5eX2qpVK1VRFLVbt27qsWPH0tyOLMOdO3fUYsWKqXny5FFDQ0NTXffw4UP14cOH6pkzZ1Jdzj62fAcPHlQVRVEnT56sqqqqxsXFqVFRUerff/+tbtq0Sb1586aalJSkcSspM/bu3as6OjqqtWvXVv/777/ky9esWaMqiqJu2LBBVVXuv9bA2IdTpkxRCxQooK5bty75uqSkJHXYsGGqoijqqVOn0r0fWRaOa9sGjmvbFo6FWR+Oe2UdM+OtiHFG4N69ewEAzZs3ByCzT1RVRaVKlfDyyy8jJCQEK1asSHUfshwPHjyAwWCAt7c3AJnFn5SUBE9PT/z++++oU6cOVq5ciTFjxuDRo0ecSWjhjOslubu747XXXsPp06fx4Ycf4vfff9e4ZfQijJ+9Fy9eBIDksnp6vR4uLi5o1aoVChYsiBUrVuDmzZvch60A92XbwH3bOt26dQuXL19Gs2bNAACJiYlwcHBA48aNkSdPHjx48CDNfdi3ls24L5cuXRr379/HG2+8gRUrVuD333/HpEmTEBYWlnw7zvS3HDqdDl26dIGDgwPOnj2bfPmZM2cwYMAA1KlTBzVr1sRrr72G1atXIzExkb+lLJzBYECpUqXg5eWFHTt24PLly5g5cyYaNGiAtm3bok2bNqhevTpmzJiBK1euaN1cyoDr169j0KBB8Pf3x+TJk1ONe7Vp0wbVqlXD9OnTERMTw/EuK2Dsw8jISHh4eKB169YA5FjMzs4OPj4+KFOmDM6ePYudO3ciNDQ0OaOW38+Wh+PatoHj2raFY2HWh+NeWcdgvBUqVqwY4uPjcefOHQCmNQ3t7e1RpUoVAMCGDRsQExPDg1ML5OHhAQDYvHkz7t27l9y3er0e7u7uWLBgARo3bozVq1fjq6++Sh5EIstlMBhw+fJl9O7dG3v27EFkZCQPXKxEyZIlAUjJJgDJa+lUqlQJXbt2xbVr13Dr1i3uw1aC+7Lt4L5tPVRVhZOTE1xcXJLL3jo4OAAATp06hYcPH2LOnDmoWbMmunXrhiVLlrCsopUwGAwoUaIEqlatih9++AHdunXD3LlzsWrVKnz++efJwdygoKDkgQgyb/ny5UOfPn1QqlQpzJgxA5cvX8bFixfRqFEjbNiwAQUKFECNGjWwadMm9O/fH5999hni4+O5P1swnU6HggULomHDhjh58iRWrlyJKVOmQKfTYcyYMRg9ejSKFCmCjz/+GN999x3u3bundZPpOby9vTF+/HjMnTs3eZkJVVWh0+ng7OyMxo0bIyQkBJGRkQBMS1CQZStfvjyuXLmC06dPAzAdiwUFBeH8+fPo2bMnWrRogWbNmqFv3754+PAhdDodxzwtFMe1rRvHtW0Px8KsE8e9Mo/BeAuXclAgKSkJAODv749Hjx7h448/xr1795J3hPv37yM0NBQAEBISguvXryfPTiLLUaVKFfTs2RPbtm1L7k+9Xg87Ozvo9XrkyZMHc+fOhZ+fH2bPno3169cDYIaWpVJVFQ8fPkTt2rXh7OyMWrVqYfPmzbh06RIPXKxA7dq1kS9fvuR1dADTvlq2bFnExcUlr0/LfdhypOwr4+CAwWDgvmyl0jsWq1WrFvdtC/Xk/qsoCgoUKIAmTZqkmtUdHR2NVatWAZCZ4YqiYMeOHRg2bBimT5+OpKQk/ui0AOl9XhvpdDo4OjoiMDAQhw4dQmJiIt59910sWLAAv//+Oz788EOMHz8er732GtauXct92Qyl9/lcs2ZNjBo1CkFBQZg5cyaGDx+OAgUKYMmSJdi2bRu2bNmC0NBQFC1aFF9++SWmTZvGdWktwNP2ZWMgtlKlSrh8+TI++ugjlClTBtu3b8fUqVMxbdo0LF26FE2bNsWsWbNw6NChNI9H2jP2h3Ff7NmzJ+rVq5d8XcoJM2PGjIG9vT3mzJkDwDQwTJYjvc/utm3bolKlSmjdujXmzJmDpUuXol+/flizZg08PT0xfPhwfPLJJwgICMDKlSvRvXt3PHr0iGOeFoDj2raH49q2hePa1otj2lmQU/XvKXc8fPhQTUxMVPV6ffJlBoNBbdGihaooivr666+rp0+fVo8eParOnTtXzZs3r1qoUCFVURR1xowZqqqqXB/NjD1tXZy1a9eqhQoVUn18fNTIyEhVVU39aDy9ePGiWqBAAbVz586501h6Yc9aB2nXrl3q/fv3k//euXOn6uDgoJYtW1ZdtWpVbjSPXtDT+nfbtm3p3i44OFhVFEWdOHGiqqpqms/5Zz0maSu972ajnTt3cl+2Mk87FtuyZUuq23HftgxP238vXLigXrt2Lfnvu3fvqhMmTFDXrl2rxsTEqAkJCeqJEyfU8uXLq8WKFVODg4NVVWVfmrun9bfBYEi+bOHChaqjo6MaFBSUfNncuXNVRVFUZ2dntXTp0qnuR+bjWd/HI0aMUBVFURVFUT/66KPky+Pj41VVVdWzZ8+qJUqUUKtWrareuHEj19pMWfO0vjb+vW/fPtXV1VXNkyePunjxYlVVVTUhIUFVVdlvd+zYoXp6eqpNmzbl+IgZel7/phQdHa126NBBLVy4sLp///7caiJlo6f197p169TGjRuriqKo+fPnVxVFUb28vNTQ0NBU93355ZdVRVHUOXPmqKrK72Zzx3Ft68ZxbdvCcW3rxTHt7MHpYxYsKCgIbdu2RUBAAHx9fTFq1Chs2rQJiqLgjz/+QIMGDfDzzz/D398f1apVw9ChQ1GjRg38+OOPKFSoEHbt2gWAM4XN1aFDhzB//vxU65Cqj2cRvfrqqxg9ejRu3ryJDh064Nq1a8kzCI2nJUqUQLt27bB27drkmYZkvtLrb8DU5w0bNoSHhwf0ej0MBgMaNWqELVu2cCahhUivf42ZOk2aNAFgyuIxZl4VKlQI9vb2uHnzJgDTOkubN2/G5MmTk9fOIvOS3nfzli1bkq9v1KgR92Urkl5///PPP1AUJXl9ceO+zn3b/KXXn5s3bwYgJdgKFy6cfNt8+fJhwoQJePXVV5EnTx44ODjAz88P06ZNw5UrV5KPs9mX5utZn9eKoiTvm/Xr1wcAhIaGQqfTIS4uDgULFoSrqyvi4+MRGBiIq1evJt+PzMPzvo+HDx+O5s2bw9nZGX369AEgx2KOjo4wGAwoU6YMXnnlFRw9ehT79u3T6mVQBjyrr437sZeXF9zc3BAbGwt7e3sAUuZafZxV3bBhQ1SqVAnnz5/H3bt3NXstlFZG+jcld3d3vPfee7hx4wazKS1Qev3977//AgA6duyIv//+G8HBwZg8eTIcHBzwwQcfoHr16jAYDEhKSoKrqysmTJgAnU6HoKAgAPxuNmcc17ZuHNe2LRzXtl4c084+DMZbqDNnzuCVV17BvXv30KlTJ3Tq1Am7d+9Gjx49MHHiRLi6umLHjh346KOP0KZNGzRt2hTjxo3DihUrULt2bZQvXx6bN2/G2bNn+cPETP37778YOnQofvvtt+QPO0VRkj/sxo4dizFjxuDs2bNo3749Ll26lOYA1NfXFwAQFxeXu42nTEuvv4G0Pxzt7OyS1z7jgYvlSK9/n9xfUw4m6fV6FCpUCIUKFUJYWFjy5/Tff/+N9957D/Pnz0dUVFTuvQDKkKd9N3fu3BlffPFF8jpKAPdla/C0/u7evXuq/k65r3PfNl9P68+uXbum2X+NPzSdnJwAyHe18TJfX1/odDr2o5nLzOd1vnz5UKhQIURERAAAfvjhBwwaNAiVK1fGvHnzsHr1agwYMAAnT57U6uXQE57Vv5MmTUJSUhLKlCmDvn37olWrVnB0dARgOhYzBmiN69Lyt5T5yui+7OvrmzzpYv/+/cl9avwe1ul0sLe3Tz4+I/OQmc9qI1VV0ahRI7z22mv4+uuvERQUZJODvZboaf3drVs3fP7550hISICLiwtq1KiBEiVKICkpKfnzO73lKYwT5cg8cVzb+nFc27ZwXNt6cUw7G2mRjk9ZZyzfMG3aNNXR0VH97bffkq87efKkOmnSJNXe3l7t1atXqnJ6Dx48SPU4y5YtUxVFUf/444/caThl2ooVK1RFUVRXV1d19uzZamxsbPJ1xpI9BoNBnTRpklqgQAG1YMGC6rp161KVUG3Tpo3q6empXrp0KdfbT5nzrP5+GmOJl127dqmOjo5qhQoV1GXLluV0UykLstK/qqqqdevWVQMDA1WDwaD+888/atWqVVV3d3f1yJEjOdxiyoyMfjf369dPPXfuXJr7c1+2LC/a36rKfducZLU/ExMT0328RYsWqV5eXuq6detSPT6Zh6z2d9euXVU/Pz/1m2++Ub28vNQaNWokl7j+5ptvVHd3d/Xy5cu5+2IojYz27+uvv65evXpVVVVVvXfvXvJ9n9xfe/furTo7O6uHDx/OpVdAGZWZffnMmTOqqko51AoVKqj58uVTN23alOrxVqxYobq4uKgdO3bM8HE65ZzsONYy/v7q0aOHev369VxpN2VNZvr77NmzqqqqakREhFqqVCm1fv366u3bt1M9Xo8ePVRFUdSRI0fm3ougDOO4tu3guLZt4bi29eKYdvZhMN5Cvfvuu6qDg0PyD0ujxMRE9bffflNdXFzUDh06qMeOHUt1vfFDbv/+/aqzs7P67rvv5lqbKXM2b96sOjs7qw0aNFDt7e3Vb775Jt0DF1VV1Z9//lmtW7euqiiK6ufnp7Zv316tVq2aqiiK2qlTJzU6OlqLl0CZ8Lz+fhrjPr17925VURS1evXq7G8zlNn+Ne7fbdu2VQsXLqwuWrRI9ff3Vz08PNSjR4/mVrMpkzLy3fzqq6+qYWFhae7LfdnyZKW/jQFc7tvmJ6v77/Tp09VNmzapwcHB6owZM1Q/Pz/Vz88v1SASmZ+M9rdxoODzzz9XFUVRHR0d1cDAwOR92RiQNwZ0yTxkpH/bt2+vnjhxIvk6vV6v7tq1S42JiVFVVVVnzJihuri4qE2aNFHv3r2bm82nTMhIX3fs2FE9ffq0qqqqunDhQrVEiRKql5eX+tlnn6kbNmxQP/30U7VSpUpqkSJF1FOnTmnxMugpsvLdnHJN0r59+6p58uRRV65cmWttpqzLaH8bP7tHjx6tOjo6qq1atVIPHTqknjlzRu3Xr5+qKIpasmRJNSIiQoNXQRnFcW3rx3Ft28JxbevFMe3sw2C8hZo4caKqKIq6bds2VVXTZuf8+eefqouLi9qpU6enzh7z9/dXa9eunerLj8zHX3/9pdrb26tr165VO3XqpDo4ODzzwOXmzZvqzJkz1Xr16qmFCxdW69evr44bN069cuWKFs2nTMpIfz+N8cBl3759qQYVyXxktn+N+7ZxVn/x4sVVNzc3mz9oMXcv+t3MfdmyZKW/jbfhvm1+stKfwcHBapkyZVRFUZIDtRUrVkx3wg2Zl4z2d8eOHdXbt2+rp06dUvPmzatWrlw5+baJiYnJ2V2sgGBesrI/T5o0SVUURfX19U0e/C1cuDCDs2Yuo33doUMH9datW6qqqur69evVLl26JH92e3l5qS1atFBPnjyZ282n58jqsbXxmPrkyZNqnjx51Lp16yZPniLzlZn9+e7du6rBYFAHDRqkOjs7qy4uLqqbm5uqKIpatmxZ7s8WgOPa1o/j2raF49rWi2Pa2YfBeAtjHOj5999/VZ1Op7Zp0yb5gCXlDGBVVdVff/1VdXR0VIcMGZLqcr1er+r1evV///ufevz48dxpOGXa4sWLVVdXVzUuLk49ceKE2rlz53Q/7J7s90ePHqkPHz5M9zoyXxnt76dhX5u3rPbv9OnTVUVR1Hz58qWZEU7mIzu+m424L5u/7Ohv7tvm40X788SJE+qPP/6oTp48WV2xYkVy6WsyTy/S30FBQcnBnKctU0DaepH+jYqKUocNG6Y2b95crVu3rjpo0KA02XpkPrLS1++8806qyw8cOKBu3rxZPXXqFKtbmJkX/W423j8uLk6dPHkyx73MXFb6e9CgQcn3nT9/vtq3b1+1VatW6ieffKJeuHAhd18AZQrHtW0Hx7VtC8e1rRfHtLMPg/EW6sGDB2qLFi1URVHUKVOm/J+9uw5v6vziAP69SV1xKO7eFrfi7laGjzEYP9zZ2LAZUxgTxmAM9w3bxoZvuDtjwHAY7hQp1O7vj0OaMkqpJLnJvd/P8/RJ2qbJ254mufc97zlv/IqThC9cDx8+VAcPHqwqiqIuW7bsuftgBYfz++6779QnT56oqqqqR44cUcPDw1/4YmeJZ2xsLKt0XFRK4k2uJzXP5x07djzXRpWcly3em8l1pCXefG47n5TGc/HixVoNlWwgufEeNGiQqiiK+vPPP8d/ndVXzi+lz+eELayjo6PV6OhoTgi6iJTGeunSpVoNlVIhLcdanBNxPWl57SbXw3ltY+C8trFwXlu/OKdtG0zGuyDLgcmVK1fU3Llzq1mzZlXnzJkT//WEBy7bt29Xvby81JYtW8avHCTn96I48Y1MnxhvfUtrfO/du2fP4ZGN8L3ZWFIb74RJPD63nUdanr+skHY9fL3Wt9TGlwl418Pnsr4xvsaSltduLpJzPXx+6x/nOY2F8dYvzmnbFpPxLiguLi5+hcnBgwfVHDlyqHnz5lUXLFgQfxAaFRUVf5vSpUurefLkiV+9Qs4tsVV/CV/4+EamL4y3vqUlvjzJdC18bzaWtMSbE4bOh89fY2G89Y3xNQ7GWt8YX2NhvI2F8dY3znMaC+OtX5zTtj0TyKWoqgpFUaAoCk6ePIkcOXJg9erViI6OxqBBg/Dhhx8iNjYW7u7uUBQFqqriwYMHCAoKgoeHh9bDp5ewxBcATp8+jQsXLgAATCbrU7VEiRJ4//330bx5c7z55puYPn06Hj16pMl4KW0Yb31La3wT3o6cG9+bjSWt8TabzVr/CpQAn7/GwnjrG+NrHIy1vjG+xsJ4GwvjrW+c5zQWxlu/OKdtJ47K+lPaJVyN8ueff6phYWFqv379VFVV1XPnzqmlS5dWPTw81IoVK6pfffWVOmfOHLVFixaqoijqoEGD1JiYGO614sQSi++AAQNeuGLsyJEjatu2bVVFUdQpU6Y4aphkI4y3vjG+xsH3ZmNhvPWF8TQWxlvfGF/jYKz1jfE1FsbbWBhvfeM8mLEw3vrF2NoPk/EuIuGTYNOmTWr16tVVRVHUP//8M/7rd+7cUd977z21VKlSqqIoqqIoasaMGdV27dqpFy9e1GLYlEzJiW9iDh48qHbp0kU9evSovYdINsR46xvjaxx8bzYWxltfGE9jYbz1jfE1DsZa3xhfY2G8jYXx1jfOgxkL461fjK19KaqqqlpX51PS1ARtITZv3owRI0Zg165dWLt2LWrVqoW4uDjExcXBzc0NcXFxiI2Nxe7duxETE4MiRYrAz88Pfn5+Gv8W9CLJiW9SrT2ioqLYqsmFMN76xvgaB9+bjYXx1hfG01gYb31jfI2DsdY3xtdYGG9jYbz1jfNgxsJ46xdj6wCOzv5Tyvx3NUpYWJjq5uYWvxolNjZWq6GRDTC+xsJ46xvjqz9nzpxRT548+dzXGWt9Yrz1hfE0FsZb3xhf42Cs9Y3xNRbG21gYb31jfI2F8dYvxlZbTMY7gbt376p79+5Vv/32W3XatGnqvXv3ntsDZ9OmTWrVqlX5JHBBjK+xMN76xvgaQ1xcnBoREaFmyJBBbd++vXrs2LFnvmfBWOsD460vjKexMN76xvgaB2Otb4yvsTDexsJ46xvjayyMt34xts6ByXiNXbp0Se3bt6/q6+sbvx9OmTJl1HXr1sXfZvPmzWqVKlVUd3d3PglcDONrLIy3vjG+xlOjRg3Vzc1N7dev33P7HjHW+sN46wvjaSyMt74xvsbBWOsb42ssjLexMN76xvgaC+OtX4yttl7c5J/sSlVVxMXFYdasWVi6dCk6deqEXbt2Ydy4cbh16xbGjBmDuLg4AMCVK1dw4MABrF69Oln7M5D2GF9jYbz1jfE1rooVKyI2NhaTJk3C+PHjcfLkyfjvXb58mbHWGcZbXxhPY2G89Y3xNQ7GWt8YX2NhvI2F8dY3xtdYGG/9Ymw1pu1aAGN79OiRWqBAAbVt27bxX7t//7766aefqoqiqL/++mv818+dO6eqKlejuBLG11gYb31jfI3FErvFixerfn5+anh4uGo2m9UOHTqo//zzT/ztzp8/H3/7/25XQK6D8dYXxtNYGG99Y3yNg7HWN8bXWBhvY2G89Y3xNRbGW78YW+fApQ0aunnzJq5fv45atWoBAJ48eQI/Pz+0aNECHh4eiIyMhKqqAIA8efJoOVRKBcbXWBhvfWN8jcWy8rNSpUp49OgRqlWrhh9//BE//fQTPvjgAxw7dgwAkDt3bsTGxsJkMkFRFC2HTGnAeOsL42ksjLe+Mb7GwVjrG+NrLIy3sTDe+sb4GgvjrV+MrXNgMl5DXl5eUBQF58+fBwB4enoCAA4ePIioqChMmjQJFStWRKtWrbB48WI8ePCArSFcCONrLIy3vjG+xhMbG4t06dKhePHi2LBhA8LDwzFlyhQsWrQIY8eOxcWLFxETE4PDhw/j0qVLWg+X0ojx1hfG01gYb31jfI2DsdY3xtdYGG9jYbz1jfE1FsZbvxhb7blpPQAjy5w5M+rWrYtLly4hKioKHh4eiIiIwIoVKwDIPsXR0dHYvn07Nm/ejJEjR6JPnz7w8vLSeOSUHIyvsTDe+sb4GoeqqlAUBWazGX5+fqhWrRqWLVuGR48e4Y033oDZbEaPHj0QFxeHQoUKYfr06Xj33XfRo0cPrhp1QYy3vjCexsJ46xvjaxyMtb4xvsbCeBsL461vjK+xMN76xdg6Ecd2xTeuy5cvq/v371d37twZv5+wqqrqsWPH1Fu3bsV/fv36dXXYsGHqL7/8ot6/f1+NjIxU9+zZo5YpU0bNkyePeurUKS2GTy/B+BoL461vjK9xvCjWCfdGmjhxourm5qaeOHEi/vtTp05VTSaT6uPjo+bPnz/+ttxPybkx3vrCeBoL461vjK9xMNb6xvgaC+NtLIy3vjG+xsJ46xdj69zYQ9cB9u7di4oVK6Js2bKoXLky6tevj++++w4AULRoUaRPnz7+tpkzZ8YHH3yA5s2bw8fHB15eXihTpgyGDRuGCxcu4Ndff9Xq16AXYHyNhfHWN8bXOBKL9ZQpUwDIXkqqqgIA6tevD5PJhPXr1wMAHj16BDc3N3h7e+Px48eoWLEibt++DQBcMerEGG99YTyNhfHWN8bXOBhrfWN8jYXxNhbGW98YX2NhvPWLsXUB2qwBMI5Dhw6pgYGBqqenp/rKK6+o3bt3V93c3FRFUdSpU6cm+jMJV5xER0erqqqqJ0+eVBVFUT/55BOHjJuSh/E1FsZb3xhf40gq1j/88MMzt7148aKaLVs2ddSoUaqqqurkyZPVdOnSqeXKlVOnTZumenl5qU2bNlVPnz6txa9CycB46wvjaSyMt74xvsbBWOsb42ssjLexMN76xvgaC+OtX4yta2Ay3o6ioqLU9u3bq4qiqJMmTYr/+sqVK1VFUdQSJUo8908dGxub6H1NnTpVDQwMVFeuXKmqKltEOAPG11gYb31jfI0jNbFu27atWqJECfWLL75Q06VLp5YpU0aNiopSVVVVv/32WzVjxozqpUuXHPp7UPIw3vrCeBoL461vjK9xMNb6xvgaC+NtLIy3vjG+xsJ46xdj6zqYjLejhw8fqsWLF1dLly4d/zVL5eTIkSNVRVHU3377LdGf/fLLL9Vff/1V3b9/v/rFF1+oxYoVU4sWLapeuXLFIWOnl2N8jYXx1jfG1zhSEmvLQooxY8aoZrNZ9fLyUsuVKxd/gGq5vHv3riN/BUoBxltfGE9jYbz1jfE1DsZa3xhfY2G8jYXx1jfG11gYb/1ibF0H94y3M09PT3h6eiIqKgoAYDabAQBVqlQBACxatAgAEBsbG/8ze/bswddff40WLVqgbNmyGDFiBBRFwZIlS5AtWzYH/waUFMbXWBhvfWN8jSO5sY6JiQEAtGjRAlmzZkXRokWxY8cOuLu7Izo6Gu7u7gCAwMBAR/8KlAKMt74wnsbCeOsb42scjLW+Mb7GwngbC+Otb4yvsTDe+sXYugZFVVVV60HoWevWrbFx40acPXv2mX/iJ0+eoGzZsvD398eOHTue+7m9e/fi+PHj+Oeff1CiRAlUr14d2bNnd+TQKRkYX2NhvPWN8TWOlMb68ePH2L17N8LCwmA2mxETEwM3Nzcthk6pwHjrC+NpLIy3vjG+xsFY6xvjayyMt7Ew3vrG+BoL461fjK1r4F/YzgYMGIDSpUs/8ySIi4uDoijInj079u3bh8uXLyN79uyIi4uDySTNCsqVK4dy5cppNWxKJsbXWBhvfWN8jSMlsY6JiYGXlxeqV68OADxAdUGMt74wnsbCeOsb42scjLW+Mb7GwngbC+Otb4yvsTDe+sXYugb+lW3k2LFj2L59O65fv45ChQqhVq1ayJgxI2rWrImaNWsCAFRVhaIoMJlM8PDwQMWKFbFx40ZcuXIF2bNnj0/sHD16FAULFoSHh4eGvxElxPgaC+Otb4yvcdgi1pYD0qNHj6JQoULxLZvI+TDe+sJ4GgvjrW+Mr3Ew1vrG+BoL420sjLe+Mb7GwnjrF2Pr2piMt4H9+/ejbt268fsyeHh4IDY2Fh988AEaNmyIvHnzJvpzQUFBiImJwY0bN+K/tnLlSvTq1Qtt27bF+PHjHfQbUFIYX2NhvPWN8TUOxtpYGG99YTyNhfHWN8bXOBhrfWN8jYXxNhbGW98YX2NhvPWLsdUBldLkwYMHav369dU8efKoq1evVlVVVf/66y+1X79+qre3t9qlSxd1586d8bePi4tTY2NjVVVV1dWrV6uKoqjfffedqqqqumLFCrVUqVKqr6+vun//fsf/MvQcxtdYGG99Y3yNg7E2FsZbXxhPY2G89Y3xNQ7GWt8YX2NhvI2F8dY3xtdYGG/9Ymz1gcn4NLp+/bqaI0cOtVWrVs9977vvvlMLFCig1qxZU/3zzz/jvx4XF6eqqqoePnxYNZlM6tixY9WNGzeqwcHBakBAgHr48GGHjZ+SxvgaC+Otb4yvcTDWxsJ46wvjaSyMt74xvsbBWOsb42ssjLexMN76xvgaC+OtX4ytPjAZn0ZXr15Vs2TJojZo0CD+azExMfHX58+frxYrVkwtX768umHDhmd+9ujRo6qiKGq5cuXU4sWLq/7+/nwSOBnG11gYb31jfI2DsTYWxltfGE9jYbz1jfE1DsZa3xhfY2G8jYXx1jfG11gYb/1ibPWByfg0ioyMVEuXLq1my5ZNPXjwoKqqqhobGxvfBkJVVXXhwoVq7ty51Tp16sTfRlVV9cqVK2rOnDlVRVHUdOnSqYcOHXL4+ClpjK+xMN76xvgaB2NtLIy3vjCexsJ46xvjaxyMtb4xvsbCeBsL461vjK+xMN76xdjqA5PxKXTt2jX10KFD6uHDh9WLFy+qqqqqM2bMUE0mk9qnT5/428XGxsa3glBVVf32229VRVHUIUOGqE+ePIn/evny5VVFUdSjR4867pegF2J8jYXx1jfG1zgYa2NhvPWF8TQWxlvfGF/jYKz1jfE1FsbbWBhvfWN8jYXx1i/GVp+YjE+BPXv2qAUKFFAVRVHd3NzUIkWKqH/++acaGRmpNm7cWFUURR03blz87f+7OqV9+/ZqhgwZ1DNnzsR/7fLly+rZs2cd+WvQCzC+xsJ46xvjaxyMtbEw3vrCeBoL461vjK9xMNb6xvgaC+NtLIy3vjG+xsJ46xdjq19MxifToUOH1MDAQNXDw0Nt0aKF2rp1a1VRFFVRFHX37t3qmTNn1DJlyqhms1n99ttv438uLi4u/snwww8/qIqiqN9//33898g5ML7GwnjrG+NrHIy1sTDe+sJ4GgvjrW+Mr3Ew1vrG+BoL420sjLe+Mb7GwnjrF2Orb0zGJ8Pjx4/Vpk2bqoqiqJMnT47/+uTJk1VFUdSQkBD14cOH6ubNm9Xy5cur3t7e6qeffvrc/WzatElVFEX95ptvHDl8egnG11gYb31jfI2DsTYWxltfGE9jYbz1jfE1DsZa3xhfY2G8jYXx1jfG11gYb/1ibPWPyfhkePDggZonTx61WrVqz32va9euqslkUjdt2qSqqqpu3rxZbdCggaooitqlSxd13bp16o0bN9SIiAg1PDxcVRRF3bhxo6N/BUoC42ssjLe+Mb7GwVgbC+OtL4ynsTDe+sb4GgdjrW+Mr7Ew3sbCeOsb42ssjLd+Mbb6x2R8Mjx69EjNmzev2qBBg/ivWdo+/P7776qiKGrv3r3jv3fs2DF11KhRamBgoGo2m9WgoCA1W7ZsqqIoapMmTdTr1687/HegF2N8jYXx1jfG1zgYa2NhvPWF8TQWxlvfGF/jYKz1jfE1FsbbWBhvfWN8jYXx1i/GVv8UVVVVUJJiYmJQt25dXLx4Ebt27ULGjBnjv3f16lWEhoaiXLly+P333+O/HhcXh3PnzmHy5Mm4cOECPD09Ua1aNTRr1gzZsmXT4tegF2B8jYXx1jfG1zgYa2NhvPWF8TQWxlvfGF/jYKz1jfE1FsbbWBhvfWN8jYXx1i/GVv+YjE+mpUuX4sCBAxg7dmz812JjYwEAYWFhuHz5Mnbt2oWsWbNCURQoiqLVUCkVGF9jYbz1jfE1DsbaWBhvfWE8jYXx1jfG1zgYa31jfI2F8TYWxlvfGF9jYbz1i7HVN5PWA3AV4eHh8U8Cy/oFs9kMs9mMMmXK4P79+4iOjobJZIp/Epw6dQp37tyJvw+ue3BejK+xMN76xvgaB2NtLIy3vjCexsJ46xvjaxyMtb4xvsbCeBsL461vjK+xMN76xdjqG5PxqWD5R4+LiwMA5MiRA/fu3cO5c+fib/Pbb7+hVatWmD59evztuFLFNTC+xsJ46xvjaxyMtbEw3vrCeBoL461vjK9xMNb6xvgaC+NtLIy3vjG+xsJ46xdjqz9MxqeB5R+7dOnSAIAbN24AAFauXIkxY8bg2LFjqF+/Pkwm/pldEeNrLIy3vjG+xsFYGwvjrS+Mp7Ew3vrG+BoHY61vjK+xMN7GwnjrG+NrLIy3fjG2+uGm9QBcmeWJkC5dOgDA3bt3sXHjRgwfPhwXLlzAgQMHEBwcrOEIKS0YX2NhvPWN8TUOxtpYGG99YTyNhfHWN8bXOBhrfWN8jYXxNhbGW98YX2NhvPWLsdUPJuNtwNfXFwAwc+ZM3L17FxcuXMC2bdv4JNAJxtdYGG99Y3yNg7E2FsZbXxhPY2G89Y3xNQ7GWt8YX2NhvI2F8dY3xtdYGG/9YmxdH5PxNpAlSxbkyJED27dvR0BAALZu3congY4wvsbCeOsb42scjLWxMN76wngaC+Otb4yvcTDW+sb4GgvjbSyMt74xvsbCeOsXY+v6mIy3AS8vL8TFxQEAduzYgWLFimk8IrIlxtdYGG99Y3yNg7E2FsZbXxhPY2G89Y3xNQ7GWt8YX2NhvI2F8dY3xtdYGG/9Ymxdn6Kqqqr1IPTg+PHjUBQFRYoU0XooZAeMr7Ew3vrG+BoHY20sjLe+MJ7GwnjrG+NrHIy1vjG+xsJ4GwvjrW+Mr7Ew3vrF2Lo2JuOJiIiIiIiIiIiIiIiIiIhszKT1AIiIiIiIiIiIiIiIiIiIiPSGyXgiIiIiIiIiIiIiIiIiIiIbYzKeiIiIiIiIiIiIiIiIiIjIxpiMJyIiIiIiIiIiIiIiIiIisjEm44mIiIiIiIiIiIiIiIiIiGyMyXgiIiIiIiIiIiIiIiIiIiIbYzKeiIiIiIiIiIiIiIiIiIjIxpiMJyIiIiIiIiIiIiIiIiIisjEm44mIiIiIiIiIiIiIiIiIiGyMyXgiIiIiIiIiIiIiIiIiIiIbYzKeiIiIiIiIiIiIiIiIiIjIxpiMJyIiIiIiIiIiIiIiIiIisjEm44mIiIiIiIiIiIiIiIiIiGyMyXgiIiIiIiIiIiIiIiIiIiIbYzKeiIiIiIiIiIiIiIiIiIjIxpiMJyIiIiIiIiIiIiIiIiIisjEm44mIiIiIiIiIiIiIiIiIiGyMyXgiIiIiIiIiIiIiIiIiIiIbYzKeiIiIiIiIiIiIiIiIiIjIxpiMJyIiIiIiIiIiIiIiIiIisjEm44mIiIiIiIiIiIiIiIiIiGyMyXgiIiIiIiIiIiIiIiIiIiIbYzKeiIiIiIiIiIiIiIiIiIjIxpiMJyIiIiIiIiIiIiIiIiIisjE3rQfgzOLi4nD58mX4+/tDURSth0NERERERERERERERERERBpSVRX3799H9uzZYTIlXfvOZHwSLl++jFy5cmk9DCIiIiIiIiIiIiIiIiIiciL//vsvcubMmeRtmIxPgr+/PwD5QwYEBDj88aOjo7F27VrUr18f7u7uDn98si/G11gYb/1ibI2F8TYWxltfGE9jYbz1i7E1FsZb3xhfY2G8jYXx1jfG1zgYa31jfNMmIiICuXLlis8lJ4XJ+CRYWtMHBARoloz38fFBQEAAnwg6xPgaC+OtX4ytsTDexsJ46wvjaSyMt34xtsbCeOsb42ssjLexMN76xvgaB2Otb4yvbSRnm/Okm9gTERERERERERERERERERFRijEZT0REREREREREREREREREZGNMxhMREREREREREREREREREdkYk/FEREREREREREREREREREQ2xmQ8ERERERERERERERERERGRjTEZT0REREREREREREREREREZGNMxhMREREREREREREREREREdkYk/FEREREREREREREREREREQ2xmQ8ERERERERERERERERERGRjTEZT0REREREREREREREREREZGNMxhMREREREREREREREREREdkYk/FEREREREREREREREREREQ2Ztdk/J07d9CnTx/kyJED/v7+6Nq1KyIiIlJ9f8eOHUPTpk2RPn16BAUF4eOPP070do8fP8bIkSORN29e+Pj4oGXLlrh8+XKqH5eIiIiIiIiIiIiIiIiIiCgl3Ox1x5GRkWjQoAH27NmDBg0aoHDhwpg3bx6uXLmCNWvWpPj+Tpw4gapVq+L+/fvo1KkTVFXF6NGjAQAjRoyIv52qqmjbti1WrFiBypUro3Xr1li8eDHq16+P/fv3w8PDw2a/IxERERERERERERERERERUWLsVhn/5ZdfYs+ePRgyZAhWr16Nb775BqtXr8batWvx008/pfj++vXrh9u3b2PJkiWYOXMmZs2ahU8//RQffvghLly4EH+7hQsXYsWKFQgPD8e2bdswYcIEbN26FWfOnMFXX31lw9+QiIiIiIiIiIiIiIiIiIgocXZLxk+bNg1+fn744IMP4r9WoUIF1K5dGwsWLEjRfV24cAHr1q1DrVq10Lx58/iv9+nTB+7u7li2bNkzj6soCsaPHw9FUQAAefLkQYcOHVL8uERERERERERERERERERERKlhl2T81atXcfbsWdSuXRu+vr7PfK927drYuHFjiu5v+/btAIBmzZo983VfX19UrFgx/v5UVcXOnTsRHByMvHnzPve4hw4dwp07d1L02ERERERERERERERERERERClll2T8tWvXAAAhISHPfa9AgQK4d+8ebt++bbP7O3PmDAAgIiICkZGRL7wdAJw9ezbZj0tERERERERERERERERERJQabva404iICABA5syZn/teYGAgAODy5cvIkCGDTe7v8uXLKXrcMmXKJPo4T548wZMnT5573OjoaERHRydrrLZkeUwtHtve9kw7jPp9iiCj6Q4yKreRQZHLjKbbyKhYvnY7/vuWj0AlAk93H3B5JlVFo9hYmMxmxLngL6W6ueHByJGIbNdO66G4hJiYGACyuMjNzS4vvS+l3L8Pz/Xr4fX773DftQtKbKxDH1/18oLq6SmXXl7A00vVywuqt3fiX//PbZDg5+Nvn+BnVS8vwN0dAODl5QWTyW67scSzxPb+/fuaxZZSLzY2FlFRUVBVNVm3d4bncmopipKsD2dhiYmqqoiLi4Oqqol+uLm5wcPDwy5j4PNbXxwZz9jYWMTExCDWQe+17tu3I/Dtt2G6edMhjwfIsWBku3Z4MHw44KDnh6enJ8xmc7Jum1S8zX/8Aa/RoxHduTOi+vSx+TjpWe7ffw/PL78EHj+2yf25+nmULcSlS4c7s2YhtnBhrYdiF4qiwMvLC4qi8L04FSzHTnFxcYiNjUVcXJzWQ3ohVz62ppRjvO3P3d0d7k/nRLTG12/nZd61C95vvAHcv5+s2++IKY8+kRMwNnwbyo9rBLi78/mcgM/MmfD95hsoCfJK9vT9k9cwNvJNPIaXQx4PAKBWA5Tk/b/YQla321iw5D6yVQhy2GPqmbu7OwICAhL9np5zkI6Qkr+bXV4pLS/APj4+z33PMln66NEjm92f5b7S+riffPIJ3n///ee+vnbt2kTv01HWrVun2WPby8kdj/AQZfEwzg8XkCvZP2dGDDLgNjLiVoo+POCcLybJm0p0Xu5jx2JjrlxAMidFCdi3b59DH8/9wQNk270bQTt2IPPBgzAb4I01zmRCtL8/rpYvj39r1sSt4sUBByTlt2zZYvfHIOfh6OcyaYvPb33RWzxzbtqE0hMnwvR0QsyR/L79FpEbN2LvsGGISpfO4Y+fHP+Nd/oTJ1Bl9GiYnzyB+Z138O/u3TjapQt0s+LXmcTGouTMmSjw2282v2ujn32Y7txBzLBh2D1ypNZDcRi9vXbTs3hsbSyMt7Hw9dv5lJgxAwUvXEj27ZegIQ6jBN7+Edi2szoODuiPe0+7EBv9+Zz/t98QPG2awx5vPeqgL76Aap+G10lLXg2LTdyOzoBFA75H5a+zOe5BDU6POUhHSFGe2x4DsOwTHxUV9dz3LCsFEvteau/P8vW0Pu4777yDIUOGxH8eERGBXLlyoX79+i9cOWJP0dHRWLduHerVq+c0qxpt5XGlR2gY/je27DiBOxHuiHjoiYiHXi/8uP/QC4+j3BELN9xAFtxAlhQ9nrdnFAL9HiNj4ENkSX8fWTLcR9YM95El/YOnl/fh663/JKWtKHFxqDpyJHxu3kSWgwdxvWxZrYdECXjcu4dsu3cj+/btyHz4MEwJqvIeZM+Oy1Wq4Gr58oh++prpCIqqwhQVBfPTD9OTJ3I9Olq+bvk8Ksp6u8S+9vTrpujoZ+7LLcFruykuDp737iHP+vXIs3497qZLhyMhITgcGopbiXROSSuTyYSSJUviyJEjTl11YnSKosDT0xPu7u7w9PSEh4cHPDw84q87U0W4vVgqyZOqMn/ZR8L7SeojuRX4ya3WT+rjr7/+stvfjM9vfbFlPM1mM9zd3eMv3d3d4ebmBjc3t/jrlu/bjaqi0JIlKD5/PgDgUpUqON6hg8OSyoGnT6PU5MnIfOQIag4dij3Dh+OOnat0z549i/vJrOBJLN6ZbtxAvWnT4PbkCW5myoRMN2+i0PLluH/hAlY2awbVAYv3jMItKgqtli5FgWPHAADbmjbF44YNNR6VPnjduYMq776LoD17kO7ECdzVYXX848ePceLECQDGfi9WFAVmsxkmkyn+MuF1s9n8zNf/+7WEl0RkDFeuXMGNGze0HgYAY79+O7uCT7f83Vq9Og6Hhr709jvWVQGOA0dRAtvPF0PDN9/EqVat8E+7doizU5c6V5BnzZr4RPyJ8HD8W6uWXR/v5l1f9Pq0LdQHJjSoeAzt6u236+NpZee2bJi6oQ62nS+OBmf2IiJ/fq2H5PK8vLxQo0aNRI8J9ZyDdARLd/XksEsyPnv27ACAc+fOPfe969evAwDSpaByIuH9FS9e/Ln7s9xXQEAA/Pz8Uv24np6e8PT0fO7rWrf40frx7cE9ayBKtghEyRYlkv0zjx8Dt26l7OP2bUBVgcgnHoh84oGrtwLwNxJvb5IuHZA7N5AnT+KX2bLZtrg2OjoaK1euROPGjV0zvqdPA19/jcp//w188IHWo3F6do/3lSvA8uXA0qXAxo1AwhOdkiWB8HCgTRv4lSiBwooC3U3ZqSrw5AkQGSkfJ04A8+ZBXbwY6e7eRdXNm1F182Zcyp4df4WG4q8SJfDIz8+mQ7C0gqS08/HxQfbs2ePflxMmzRNeJvY1Nzc3uybWXf61W4eaNGmCGTNm4Nq1a8nebiCl+Px2bSaTCXFxcciTJw8AoE2bNvDy8nomaW65dHd3h8lkcv4FOjExQJ8+wNNEPIYNQ47PPkMORyeT//c/oFUreB8/juqjRgETJwI9eth1QUBERAS2bt2Kffv2PbNQ6EUsz1//e/fQcfZs+ERG4mKOHJjTpQtK/v03mq5YgTL79sHr0SMsCw9HrMHbbNqC76NHaD9/PnJeuoQ4d3fEzZyJsE6dbHb/fC8GcOoUMHs2avzxB/Dmm1qPxi6io6OxadMm7Ny5E4DrvxcrigJVVVGoUCE0btw4RXNiesbns7Ew3o7x+PFj7NmzB9u3b8djG20Rkxau/vqtR35Pk0dXsmTBjYwZk7xtYGAgfIJKAMfl83GZx6HxjVUovHQpgnbtgveCBXCrVs3eQ3Y+M2cCkyfL9TffROHPPkNhu85FATVrAncfAKVKAcs3FIO3dzG7Pd6zj+3Y1+7a54GpeYHtqIJSq79F+jWD7f6YpM8cpCOk5G9ml5mGTJkyIUeOHNi///nVObt37wYAZM2aNdn3F/p0hdb+/fvRuHHj5+4v4X2FhITY7HHJuXh5ATlyyEdyxcUBd+9KYv7mTeDiReDCBeD8efmwXL9zR2539y5w+HDi9+XuDuTK9WySPuH1XLlkjIbxxhvA118Dv/4KXLsG8LnleBcuAMuWSQJ+2zZJSFuUKSMJ+PBwoEgR7cboKIoiT0AvLyB9eiB7dqBmTSgTJwIrVgBz5wKrVyPH5cvIcfky6q9Zg1MFCuBwaChOFC2KaE68OwV/f39Uq1YNpUuXNvyeY5R87u7u6NixI6ZOnYqHDx/aLSFPrkdRFJhMJoSGhqJixYpInz49Vq5cifz587v2Seb9+0DbtsDq1bJS9JtvgL59tRlL0aLA7t1A165yTNKzJ7BrFzBpkt0OjAMCAtC4cWNUrVo12Ul5r8hIdJ43D4EREbiZMSMWdOyIaE9PHChTBpFeXghfuhTFjx2D54IF+LFdO0QnskCbXk5RFKS/cQNdFy+G/7VrUNOnh+mXX2Ay4gStvY0ZI4tx1qwBtm4FqlbVekQ25+7ujrp166JYsWLYu3ev1sNJE0VR4O/vjyZNmqCwDjsZEJFz8fLyQrVq1VCpUiXs27cPW7duxcOHD7UeFjkR/6edpu77+yf6fUtnlurVq6Ny5cpYutQ6P7PxRgns/fxPlP2iA/wvXoRaowYwcCAwdizgwA6cmlqwAOjeXa4PHAh89pndu5MNHw5s3w4EBgJLlgDe3nZ9OE3lyQMUL/gER095Yt1aFW23bQPCwrQeFlGa2W2mu3HjxpgxYwZOnTqFggULAgCePHmC5cuXo2jRosicglbBhQoVQqFChTB79mwMHz48fvLs8OHDOHr0KHr27Bl/2yZNmmDkyJHYuHEjatasGf/1RYsWISAgAKVKlbLJ70euwWQCMmSQj0KFXny7+/clr2lJzv/38tIlWYF25ox8vEjFikC7dsArrwA5c9r+93EqJUsClSoBO3cCs2cDb72l9YiM4fRpSb4vXSqT3wlVrAi0aQO0bg2whY/w9paERdu2wI0bwKJFwNy5MO3Zg8InT6LwyZOI8vbG38WK4XBwMM7nzQvV2ashdcRSIRQYGIgaNWogJCSEbTQpVfz9/dGpUydMnz4dMRrsm03Ow/K64uvri0qVKqFMmTLw8fEBYN22yqVdvgw0aQIcPCjvcYsWAc2bazsmf3+ZEfr8c2DECGDGDFndunSprFq1k4RJ+W3btmHv3r2JJuXdoqPRYcECZLlxAxH+/pj36quITDBReLx4cSzw8kL7hQtR4MwZdJkzBws6dULk0/8bSh5PT0/U9vJCua+/hun2bSBfPiirVhljUagW8ucHXn8d+OEHYPRoYMMGrUdkN1myyBZ1DRo0wB9//IHo6GiXWXhnetqtpFq1aggLC3PthWBE5HLc3d1RqVIllCtXDocOHcKWLVtw7969+ONlMihVfWEy3vK/UaJECdSrVy9+2947d+T7efMC584B4/bWwrxDh3ClQwfk3rAB+OorKdaaNg2wc6t2zS1ZAnTpIgVRvXoBX35p90T80qXyMAAwaxZQoIBdH84pNG7piaPjgZVojLYjRkgXWM7XkouzWx/Dvn37QlEUdOzYEZcuXcLjx4/Rq1cvXL58GZ07d07x/Q0cOBCnTp1C7969ERkZiUuXLqFbt25QVRWdErS8e/311+Hv74/u3bvj+PHjiI2NxahRo7Bv3z60bduWJz+UKH9/oEQJoFEjeR/9+GMpNNiyRRLyT57IwcamTVJgO3asdOVs0AAoVgywzNXt2gUMGSJV8tWqAd9+C1y9qumvZl89esjltGnPVmWTbR0/Dnz0EVC6NFCwoCyH3L1bDkKqVZOD3gsXZGHEsGFMxL9I5sxA//7ytzt+HBg1CsibFx6RkSi9fz9emz0bQ7/9FnX//BOZrl+Pnzwj27O0f06fPj1atWqFAQMGoHTp0kzEU5pky5YNbdq00XoYpBHLa3ZQUBDCw8MxePBgVK1aNT4RrwtHjshCyIMHgSxZ5MBU60S8haLI8cnq1UDGjMDevUDZssAff9j9oQMCAtCoUSMMGjQI5cuXf2abASU2Fq0XL0buf//FY09PzO/cGfcSaQ19Nn9+zH7tNTzy9kbOS5fQdeZM+Kdg7zcjsjznMmfOjGbNmmFYvnyo8PbbkogvXx7YsYOJeHsbNQrw8JDJyT//1Ho0dle6dGn0798/futCZ95OxDK2fPnyoW/fvqhZsybnoohIM25ubihbtiwGDBiAVq1aIUOGDACc+3WU7Mfz8WO4P13A/uA/yfjMmTPj9ddfR3h4eHwiHpBtYAHgvffkcskS4MzdDDgwcCBifv1VJsLPnAFq15aJdb0eR//yC9ChAxAbC3TrJt3A7Pw8OnFC1l8CsjNRy5Z2fTinYWmOvQqNELd5C7B2rbYDIrIBu1XGh4aG4osvvsDgwYORO3duuLu748mTJ6hQoQLeTLCn2ahRo5A+fXoMHTo0yfvr06cPNm/ejOnTp2Pu3LmIjY1FbGwsBg0ahKoJWrIFBQVh5syZ6Ny5M4oXLw5PT088fvwY+fPnx+eff26vX5d0zs3N2pY+Maoq1fM//wz8+KN0CrR8DBwI1KgBtG8vBcuZMjl06PbVtq38gidPAps3yy9KaaeqwF9/ydLHJUuAo0et3zObZZOg8HCgVSsgWzbNhunSihQBPvwQeP99afE/dy7w00/wvXULYZs3I2zzZtzNnx97ixXDwWLFEBkQwD3ObMCyyjpTpkyoWbMmihUrxgkAsqkiRYqgXr16WLdundZDIQexvIYUK1YMlSpVQk69tib64w85kIyIkPewVauAfPm0HtXz6tUD9u2Tse7fD9SvD3zyicwc2fn13t/fH40aNYqvlN+/bx9CJ09GnuPHEWM2Y2HHjriexLZKl3PmxMzXX8erc+ciy40b6DZ9OuZ26YLbL9lH02gsz7kiRYqgYsWKyJ0rF5SvvwaGDpVj2GbNgIULjdOmVEu5c8sK8W+/ler4WrV0XzHk5+eHNm3aoFSpUvjtt98QERHhdNWdiqLAz88PjRs3RpEiRXisS0ROw2QyISQkBMHBwTh+/Dg2bdqEa9eusVLeYCxV8ZFeXohxd4eiKPDw8EDdunVRpkyZRAtTLJXx1atLYdqaNcA335hQvz6gNmwoi4aHDwemTAG+/x74/Xdg6lSpetOLVaukFW5MDNCpk/x+di7iefRIGqDevy+1WB9/bNeHcyphYYCfH3D9QVbsRxmUGzFCzi15XEUuzK6vGAMGDMDmzZsRHh6OChUq4MMPP8SWLVvg4eERf5uPPvoIEydOfOl9KYqCH3/8EbNnz0bNmjVRp04dLFiwAF9aenQkEB4ejr179+LVV19FuXLlMGzYMBw4cADp06e36e9HZKEo0pa+Xz+ppv/3X2DCBOkaHhcnXQN79pS8acOGwMyZsj+9y/PzkxWBgLRIpNRTVZm8fucdmWQPDQU++EAS8e7u8o8zbZq0Wli/Hujdm4l4WzCZ5Ih26lT52y5eLFWGbm5Id+YM6v7+O4Z++SV6/voryp08CbeoKFbMp4JlEjJbtmzo0KEDevfujeLFi3NykuyicuXKKF26tNbDIAfw9PREWFgYBg0ahDZt2ug3ET97thwHRETIDNj27c6ZiLfIk0dWpHbtKgfCw4fLxNXTiT978/f3R8OGDTH4zh3kWb8ecYqCpa+8ggsvWlWbwM0sWTCje3fcypAB6e7dw+szZiDrlSs2GZfJZHrhMYS7uzvSpUv3TCcHRVGc5n3SMg4vLy9UrVoVgwYNQtu2bZEnZ04ogwdLazBVBfr2BZYvZyLekUaMALy85HVh9WqtR+MwBQsWRN++fREWFgZFUZzi+NzyHA8LC0P//v1RtGhRp3kOExElpCgKihUrhp49e6JTp07IkSNH/NdJ3xRFQeDDhwCsLerLlSuHgQMHoly5com+nz5+LB8AkD69rLEFgFmzTIiIeNr1JSAAmDxZJsDz5wcuXpTS5tdes5bVu7L166UgKjpazmtmzZJiKTtSVaBPH6nVyppViv/c7FZW63w8PGSdNwCs8mghC72XLdN2UERpZPencFhYGMLCwl74/ZSuvOvSpQu6dOny0tuVKFECs2fPTtF9E9lKzpzA4MHycfYs8NNP8qZ54ICsHlyzBnB3d0NoaEXcvaugdWtple+SevSQRPySJcDEiXJkRimzdKkczZ49a/2ap6csNw0Plwoj/l3tz8tLlpy2aQPcvClP2rlzoezahSx796LJ3r1o5OeHq2Fh2FmwIP7KmBEK26onybLCPkeOHKhZsyby58/PE3yyO0VR0KRJE9y+fRsXLlxglYeOWF5TMmbMiMqVKyMkJETfbX9VVbq4vPuufN6+vUz8eHpqOqxk8faWveMrVgQGDJBjnaNHJVHriNblEyfC+4svAACREyYgsGhRmPfuRVxc3EtfE+6lS4eZ3bqh07x5CLp6FV1nzcLCjh1fmMy3TFom1kHH29sbfn5+CAgIgL+/P/z8/OIvE15P+H/84MEDXL16FVeuXMGVK1dw+fJl3Lt3D4B1ktxRr2smkwlxcXHImjUrKlWqhBIlSsDNMgv46JFUBf38s3w+bpxUx/N93rGCgmSmdsIEYMwYWbhjkBi4u7ujTp06CA4OxooVK3Dx4kVNx5MnTx40adIEGdlNg4hchKIoKFiwIAoWLIjz589j8+bNOHPmTPz7P7kGy7GoqqrPHSMqigIvLy/4+vrGH3cWerpA1qtAAfTt2xeZXtLC1VIVryiSc69dW3bRPHBAwapV+dC+fYIb16wJHD4sHXu++gqYM0cmwSdPlmS2K7JsDfbkCdCihexr64Cs+PTpsibbZAIWLZJDPqNp3FhOH1dm7orRl8bIFk0tW9p9IQSRvRhoPQ2RNvLlk4Kg4cNlnxdLYv7IEQV792ZD166ynU7jxkC7dkCTJi5WTFKuHBASIgdb8+dLewBKnqgoScJ/84187uMj/wjh4fKP4LIrNHQgUyap7urbV5648+YB8+bBdPYssq9Zg9Zr1qBF9uy4XLMmdhYqBAA8YU3A8rfIkycPatasiTzJqEYksiWz2Yx27dph6tSpuHfvHhPyLs6ShM+fPz8qV65sjIU90dHSfnrWLPn87beBjz6yeytEm1IUOcgtVUqObY4dk73E58yx72aHP/4o2ygBONaxIwr27YuG7u7x7ev37Nnz0qT8I39/zO3WDe3mz0ee8+fRee5cLG7bFicLF4bJZIKvry/8/PwQGBj4wgS7r69vqqp1/fz84ifGLR4/fhyfoL969SouXbqE27dvx/8Otj4GsVTlFy9eHBUrVkSOHDmefc7duCGLRXftksUhc+bI9lWkjeHDpSXs3r3Ar7/KRLGBZMmSBd26dcP+/fuxdu1aREdHO+x9X1EU+Pj4oHHjxtx+iYhcWp48efDqq6/i8uXL2Lx5M/755x/OcWgoqcWeJpMpfsFnwuNOy/Fpwktvb+/nj0dPnAAABBQpkqy9VC3J+HTprKcib74JdOwIrFyZH5GR0tAznq+vLBJ85RWge3c5B2jdWj7/9lsgS5aU/jm0s327zM9GRsp87Y8//ueXtY/9+63T6x99JGscjMiyy8GuyzlxM11BZDp+XOZnX3tN24ERpRKT8UQOVLiwLOIaNQo4eDAan3xyBgcOFMbJkwqWLZNuKz4+MrfVrp286Xh5aT3ql1AUqY7v318q5Pv2NUw1RpqcPy+Tlrt3y+dvvSXVLC61EsMgCheWLQP+s7+8+fJl5FqwALkA3ClUCDG9e+NIRITWo9WU5WQ9f/78qFGjhn5bRpNL8Pb2RufOnfHDDz8gKiqKCXkXpCgKzGYzSpcujQoVKry0akM3IiKkS8u6dTLj9d13st+Rq6pUSWaU2rYFNm+WqpgRI+S91dZVDevXA6++CqgqYvv0wYl69WBJafv5+aFBgwYICwuLT8rHxsbG/6iHhwd8fX0REBCAgIAA+Pn54Urdukj/3nsI2LwZHX76CdFTp8K9a1eHJ9y8vLyQN29e5M2bN/5r0dHRuHbt2jMV9Ddu3IiftE3pBLpl0YuPjw/Kly+PcuXKwc/P7/kbnjghk5GnTwMZMgC//AJUrZrWX5HSIksW6UDxySdSidasmWst3LEBRVFQtmxZFClSBGvWrMGRI0fsugeyyWSCqqqoXLkyatSo8cxWjERErix79uxo3749rl+/ji1btuDIkSNMyjtQlixZkD59+mcS6v9Nsnt6eqbtWPTyZbnMnj1ZN7ck4zNksH7tlVeAd95Rcf68J+bNi0WfPon8YOXKcg7w4YfAZ5/JtpB//ikFSR06OP/c8Z49MjH/8CFQt650+nJAh7I7d+RU8MkToGlTmS42qhw5LPV/CtY0/BKdFjWTrnHt27tGtzii/2AynkgjJUoAHTsex9y5+XH0qDt+/FEW2J09i/jr/v5S2NC+veyT4rTn+J06AcOGSXX83r1S9UQv9vvvQJcusm9S+vTSd6hZM61HRS+jKDLZXLUq8PXXEse5c6GuXIn0J0+i1S+/oOjEiVi5ejUiIyMNlfiznJwXLlwY1atXR5AR+2eRU8qYMSPatWuHuXPnaj0USiZL8sTf3x+VKlVC6dKl4e3trfWwHMeyv+Jff8kCvZ9+ks9dXdaskih/6y1pWfnxx3LMuGABYKuWzvv3W/dybNsWcV98IW0x/8OSlK9atSpu374dX9H+wi0PqlYFunWDMm8ePLp1kwk5J+gE5e7ujpw5cz6z8C02NhY3btx4poL+2rVriImJAZB4gt7ytaCgIFSqVAnFixeH+UWLJLZvlzadt25J+69Vqxyz7QC93LBhwKRJ8tqxZIlhOxX4+fkhPDwcpUqVwooVKxAREWGXY/KcOXOiadOmyJw5s83vm4jIGWTJkgXh4eGoVasWtm3bhoMHDybaBp3STlEUeHh4oGnTpihZsqT9HzCVyfiEu2e6uQEDBsRh6FAzvvzShJ49X7DG1stLSrvbtAFefx04dEjmkBcuBKZMkWyrMzp4EKhfXxZJV68ui08dUC0XFwd07Sq5gbx5pfmUwdZXPqdxY0k3rFIbolNQkBS3/fCDU5yPEaWUwZ/ORNpTFOne+cknUmCye7dst5grF3D/vnRfadoUyJZNuvusXQs8nU9zHunTy4EVIG+IlCglNhamUaMkoLdvS4v//fuZiHdFXl7ScvfnnxFz8CBiPD1h2rQJJbZswYABA1D+6YIUvbeqtLQ7K168OHr37o127doxEU9OJ1++fGjatKnWw6CXsLye5MiRA6+88goGDRqEKlWqGCsRf+iQ7LH+119y4Ld5sz4S8Rbu7sCXX0oC3ttbDmotx0JpdeqUVK48eCAbWc6Z89Kqe19fX+TKlQvp06d/cSLeMu7Zs6ULFCCXH3wAOOFktNlsRrZs2VC6dGk0atQIb7zxBt555x307dsXrVu3RqVKlZA3b974Kl6TyYTg4GD06NEDPXr0QHBw8IsT8UuXyt/21i1ZeLtjBxPxziRDBmDIELn+7rtAgq4PRlTg6T64VatWhclkStWWEf9laUnfunVrdO3alYl4IjKEDBkyoFmzZhg4cCAqVKgAs9ms+3kORytYsCD69evnmEQ8kOJk/O3bcpkwGQ8Ar78eBz+/KJw6peDXX19yJ6VLS6X52LFSafbbb0Dx4sC0ac53TH3kiFTC370r1f2//SZtbB1g/HjZccjDQ9ZW/vdvbkSW0+HV690QO3KMfDJ2rCyQJnIxTMYTORFFkbmt8eOBc+ekI3b//jIfe+cOMGMG0KABEBQkW3Bu2OBE8yw9esjlwoUyEUrPunIFVcaMgfnzz+Xzfv2ArVtlqSO5tkKFcLRLF7n+1lvwvHwZjRo1Qo8ePZA1a1Ztx2Ynlr1kQ0JC0K9fP4SHhyOLK+37RYZTpkwZVK5cWethUCIURYHJZELJkiXRo0cPdO/eHcWLF7dJ4sSlrF0LVKsmk2PFiwM7dwJlymg9Kvvo0EF+vwIF5IA3LEyS3al19aocIF+/LhN9y5fbvm2hySRdcd57Tz5/911g0CApX3FyJpMJmTJlQnBwMOrVq4fXXnsNb7/9NgYOHIhhw4ahZcuWyJ7UZKyqyiKKV16RfpnNm8tJiE6PcVzaoEEya3v8uCx6MTh3d3fUrl0bvXr1Svp//CVMJhMURUHFihUxYMAABAcHMxFFRIYTEBCAhg0bYvDgwQgLC4O7u7tNXwstcwxJfejp/MBkMsHDwwMtWrRAhw4dEt8ayF5sUBkPAH5+QMOG5wAA48Yl447c3YGRI2UhboUKUnXeo4dUoJ89m7yx29vx40CdOtbFp6tWSdtaB9i0CXjnHbk+cSJQtqxDHtbpVa4MBAZKSPaEdJfuXNeuyR+JyMWwTT2RkzKZgCpV5OPLL4EtW6R1/ZIlwM2bwPffy0e2bDI31q6dvEFpdmxavTpQqBBw8qS0VO3WTaOBOKENG+DWoQMyXbsG1c8PyrRpEjDSjbONGqHkP//AtHmz/O//8QeyZ8+OHj16YO/evVi/fj1iYmJcvqWb5SS4dOnSqFq1KtKlS6f1kIiSrW7durh58yZOnTrl8s9FvVAUBXnz5kWrVq3g76BJDqc0Ywbwv//JCstatYBlywC9v76GhEh1TOfOwMqV0o9x92456E3JvkwREVIRf+aMJPdXrQICAuwzZkWRJHyGDLI/9zffSKnQjBkyuehCFEVJ3nt4bCwweLB1sqtvX1mU8JKuA6SRwEDgzTeBESOA99+Xvc5c7H/THjJnzoxu3brhwIEDWLt2LaKiolJ0HJA9e3Y0bdpUt4tsiYhSwtfXF3Xq1EFYWBh2796NM2fOxCflLfMF/71eoECB5773osuX3ebMmTO4f/++3X9Pe8uTJw9atmyJAHsdt76IqtosGQ8ATZqcwa+/FsKOHQq2bZM1ti9VooRsffT115KcX78eCA6WlrF9+2o3sX3qlHSBun5dWtiuWSPHVg5w5YpME8fFAa++aq13I9kSoX59YPFiYOU6d1T64AP5I332mVQq6v28mXSFyXgiF2A2AzVrysfEiVKM8uOPMld79ap8beJEIGdO2R6wXTtZwOfQBfuKArzxBjB8uLSqZzJejqI+/hh4910ocXG4lycPfH7/He4lSmg9MrI1kwmxU6fCVKYMsHGj7H3Vpw9MJhMqVKiAYsWKYfXq1Th69Gj8fsiuxLIKvVy5cqhSpYrjTxiJbMBkMqFNmzaYNm0abt269dy+yeR4Hh4exk7EqyowZoy02QMkMT19esqS0a4sfXpgxQrgww+l4vy774ADB2TlaXImBx8/Blq2lD0ds2SRCTNHJMv695eE/GuvyX5S9+7JgbnetlR49Ej29Pz5Z/l8/Hhpg86KYOfWv78sajl9WrZr6N5d6xE5BUVRUKZMGRQpUgRr1qzBX3/9leQxuaIo8PLyQoMGDRASEsJKeCKi//Dy8kL16tVRvXr1F94mOjoaK1euxCuvvJL0lkApEBMTgz179mDTpk0pXlylNcu2KQ0aNEDZsmW1eW+5dQuIjpbr2bIl60eSSsanT/8EnTurmDFDwbhxyUzGAzLRPWSIdFx64w0pCx8wQIq7pk8HChdO5h3ZyLlzkoi/cgUoWRJYt85hPeJjYmT95LVr8tCTJ/Nw+78aN5Zk/KpVwAfvdgA+/RT4+285P7GcSxO5AP30dyEyCDc3oF492Vbn6lXg999lQZi/P3DxIjBhgmw3WqAA8PbbMqfpsGPT116TAe7cKXvsGNnNm0CTJsDo0UBcHOJeew1bPv/c8QeU5Dj588vKTAB4661n2mz5+/vjlVdeQadOnRAQEOASE3qWFnD+/v6oUaMGBg0ahIYNGzIRTy7Nw8MDnTp1gpeXl0s8D/WuefPmxk3ER0XJcZNl8mDUKEmcGSURb2EySbX5ihVSebJjh7Tn37Il6Z+LjZUD4A0b5CB49Wo5+HUUS5Lay0vG3rChJOX14vp1mZD8+Wdp+f/TT8DQoZwZdAV+fnISCAAffCBbC1A8X19ftG7dGq+++ioCE6l2sxwblCtXDgMGDEBoaCiPF4iInIibmxsqV66MQYMGISwszKX2sM+ZMyf69OmDcuXKaTdmS1V85szJPu+wJOMzZEj8+4MGyf6pv/4K/PNPCsdTsCDw55+yKNfPT7bzDAkBPv9cstSO8O+/ctz7779AkSJSqZ8pk2MeG3IauHmznNIsWQL4+jrsoV1Gw4ZyuXcvcO2m2XoO/dVXsoqByEUwGU/kwjw8ZHXYnDkyZ7Z8uaym8/GRPOBnn8l8ZtGiUnj19992HlDWrLKqEZDVAka1Y4fsWbp6tVRJzZiB2B9+QKyt9y8l59OnD1CjBvDwoVQi/afytmDBgujbty+qVasWvyra2VhawxUqVAidOnXCoEGDUKNGDcfuYUZkR4GBgejYsaNTPv+MQlEUlCxZEsWLF9d6KNq4e1dmFObOlaqQadOkOtxFJhLtomlTmV0JDpYJldq1pQ18YitKVVUqZ5YskYPhn3+W4y5Ha9pUqvEDAmQGrVYtOSB3dSdOyN5Xu3bJrOv69bInFrmO3r2BoCDgwgWpLqPn5M+fH3379kX16tXj94QHgKCgIPzvf/9D48aN4eXlpfEoiYjoRby8vFCnTh0MGDAApUqVAgCnPL8zmUwwm81o2LAhunbtivQOqrZ+oRS2qAeSrowHZM65eXM5RP/ii1SMyWSSY5cjR4AGDWQh4fDhcjz611+puMMUuHJF9og/e1YW9v7xh2M6bT3166/Wmp7p02UtAD0vWzagbFm5vno1gBYtpCXww4eyvQGRi3C+dykiShUvL+nUuXAhcOOGFLC0bi1fP3FC5nhLlpSPDz+Ur9nFG2/I5dy50j7USFRV2kJWry5tCgoXlonM11/XemTkKCaTHEH7+Ei13vffP3cTd3d31KpVC71790bOnDk1GOTzLCetAQEBqFWrFgYPHoz27dujYMGCTnlCS5RWOXLkQKtWrbQehiEpigIfHx80btxY66Fo4/x5oGpVeY/w85MWR2wjLQoWlAWNHTpIJczAgdK6/9GjZ283dqxUzyiKHG/Wrq3NeAE55tu4UdrkHzggsT1/XrvxpNW2bTLxeeYMkC+f7OdZtarWo6KU8vaWfeMB4KOPgMhIbcfjpNzc3FCrVi306tULoaGhaNasGd544w0EBQVpPTQiIkqmgIAANG/eHH369EGhQoUAwKkq5bNly4bevXujYsWKzjGuVCTjb9+Wy6TWEbz5plzOmZOGQuU8eaQP+cyZsg/43r2SgX3/fekqZmvXr0si/uRJIG9eqdDPkcP2j/MCZ84AXbrI9YEDufb1ZRo1ksuVKyHngR9/LF+YPNm1z7/IUDjDTqRDPj7yJr50qRxbzJsHNGsGuLtLdfyYMbLarnRpWYGXoJt22tWvD+TKJUdry5fb8I6d3N27QHi47HkUEwO0bQvs2SMVXmQsBQrI/kWAnJG84AmWKVMmdO3aFS1bttSsZbalCr5IkSLo3LkzBg0ahGrVqhm3bTQZSokSJVCrVi2th2E4qqqiVatW8Nbb/trJsX8/UKmSHIxlzy6t2Bs00HpUzsXXF5g/XxY3ms3AggWSHD59Wr4/daocyAJSOd+2rXZjtShdWlpq5skjk3lhYcDRo1qPKuWWLJEJydu3pdJk506W57iyHj3knOzy5UQXh5JV5syZ0aJFC5QpU8Y5EiVERJRimTNnRvv27fH6668j+9NEs1av6ZYuiHXr1kX37t2RMWNGTcaRKDtUxgNy+FupkhS1T5yYhvEpCtC1qxxLt2gh+9u/9x5Qrpwk523l1i2gbl3g2DEgZ05JxOfObbv7f4nHj4E2bWSXq8qVpSs/Jc2yln/t2qc7GNSpI53JoqJkayYiF8BkPJHO+fvLtpa//iqJ+ZkzpTOqmxtw8KBsKZg/v+wzP2GCFHSnidkMdOsm143Sqv7AAVmtuXy5rHj49ltg0SJpW0rG1LevVMu9oF29haIoCA0NxYABA1D6aYtde58wWirdAwMDUadOHQwZMgRt27ZFgQIFOAFJhlOtWjWULFmS//sOoigKypcvjwKO3NvbWaxcKe8LV6/KQr2dO4GnLTXpPxQFGDRI2kRmyQIcPiwTcKNGSQtLQK7366fpMJ9RqJBUlRcvDly6JLHevVvrUSWPqspJQNu2MoPavLl0bsiSReuRUVp4egKjR8v1Tz6RY1IiIiKdy507N7p374727dtr1hI+c+bM6NmzJ8LCwpyv06CdkvGKYq2O/+474MGDVI7PIihI5lgXLZL92//6Syau33477R1/7t4F6tWT+wwKkkR8vnxpHHDKDBggU8mZMklnWw8Phz68S6pQQXbQuntXTqWfqY6fNQv45x8NR0eUPE72jkBE9pQunSwwXLVK5oKnTpXOniaTzBcOHSoFFFWrSj756tVUPtDrr8ub4p9/WiuZ9EhVpdLE0s4zTx6ZiO3b19j7vpI8qWbMSLJdfULe3t5o1qwZunXrZrdV04qiwGQyoVixYujSpQsGDhyIsLAw7gVPhqYoClq0aIHs2bMzIW9niqIgXbp0qFevntZDcbypUyXB+fChVGBs2SIHXJS0GjWAffukzObuXWm3HRcnFb/OWP2QI4fsHV+hglTb1K4tCwqcWWys9MUcOlSOa/v1A5Ytkw4F5Pq6dpVV19evy8kdERGRAVi6//Xt2xfNmjWDrwOOayxdB2vWrIkePXogi7MuarRTMh6QQvaCBeX2M2akcnwJKQrQrp1UyXfoIOcBn30mC5q3bUvdfUZESGeyAweAzJnlWP3p9gaOMns28MMP8ustWCCF+fRyZrMUFwJPW9UDcp7YvLn8b1i6pxE5MSbjiQwqY0aZy/zjDzkW+/ZboFo1ORjYtg3o31/mFGvXljzizZspuPM8eaxtV6dPt8v4NffgAfDqq0CvXlJF1LSptJ8tX17rkZGz+G+7+nPnXvojuXLlQq9evVCvXj24ubmleRW15efTp0+PunXrYsiQIWjTpg3y5cvHxCPRU25ubujQoQP8/f35vLCz8PBwuLu7az0Mx4mLA955B+jZU5KeXbvKzEFgoNYjcx05c8qe7L16yefh4db94p1RxozA+vXSNvHhQ+mn6KzbNj16JH9PSy/R8eOl9b/ZrO24yHbc3YF335Xrn38uE9BEREQGYTKZUKZMGQwcOBB16tSBh4eH3c73MmbMiB49eqBGjRowO/OxVAqT8ZGRMuUJSFVyUsxmWd8JyI5TMTGpHON/Zc4sWetffpFK9hMnZAJ74MCUleA/eCDH5rt3yy+zfj1QrJiNBpk8hw9bG329954U6FPyPbNvvMWHH8q54U8/ySILIifGZDwRIWtWKebevBn49185aKpUSeaQN2yQ+c9s2SS/PmOGdVVkkt54Qy5nzrThEZiTOHpUqp7mz5ejzc8/l4PClx2ZkvEks119QmazGVWqVEG/fv1Q6OkK3dScMJpMJpQoUQJdu3ZF//79UaVKFYesCCdyRb6+vujUqRPc3Ny0HopuVatWDTly5NB6GI4TGQl07mxdlPX++3IQZaTFCLbi6QlMngxcuwYsXix7LTkzf3/g99+B1q1lD8M2bWxUHmQjqiqTkLVqyfGrp6dMXg0d6ryLHCj1OnUCihQBbt8GvvpK69EQERE5nLu7O6pWrYqBAweiYsWKMJlMNknKW+6jatWq6NmzJ4KCgtJ8n3aXwmS8Zf7XbJZD3Jd57TXJnZ87ByxZkrohvlDz5jIf262bHM9+841s/5WcTlSPHgHNmkn1Wbp0wLp1QEiIjQeYtHv35LQgMlLm10eNcujD60KDBnK6cuiQ7AwGQOLYoYNc5x+VnByT8UT0jBw5ZJvOHTuAs2elA1CZMlLQtXat5BOzZpVjmDNnkrijZs1kr8mrV2VCUi/mzZPq92PHZEXmhg1S9exs+0CRc7C0q/f2lm0bXtKuPqHAwEC0b98e7du3h6+v70tPFi1V8BkzZkSDBg0wbNgwtG7dGnny5GG1L1EyZMmSBW3bttV6GLqjKAqyZs2K6tWraz0Uxzl/Xqo1Fi6UxPGsWdI2j6/FaZMli+v8DS0JbstCvO7dpfJcK9HRMlHZr59skVCx4rNVQa+8ot3YyL7MZim9AoAJE5K5qpqIiEh/fHx80KBBA/Tv3x/BwcEAkOpuhJYtuLp37446deq4xqLu2FjrfqTJTMbfvi2X6dIl7zDc21sONwFg3DjJmdtUunTSgXXNGunKeu6cbAPWo4dkuxPz+DHQsqV02/L3l58tU8bGA0uaqsrpwMmTcig+bx6nkVMjc2apjQOA1asTfOP99+WYd+VKYOtWTcZGlBx82hPRC+XNC7z1lmzXefIkMHasLDqMjgZ++022hn8hDw9ZEgkA06Y5Yrj29fixtJl99VVZUVmnDnDwoEy20wvFxgIffywLFX/6SevRaCQV7eoTKlKkCPr374/KlSvH70P2X2azGcHBwejWrRv69u2LSpUqwdvb2waDJzKWggULoqFlIzKyCUVREB4e7tztGm1p/XqgbFk5eMqYUSZ7LMdDZCxms2wI+dZb8vmbbwIjRthhVvIFHj0Cfv5Z/v+yZpWJykmTpIzEz0/24NyxA6ha1THjIe20bQuULCmT1F98ofVoiIiINJUuXTq0atUKPXv2RL58+QAkvxuh5XYVK1ZE7969kdOVNvy+cUMm6UwmWeSaDMndLz6hPn0kKb9/v9Qv2UX9+sBff0k3SkDmnUuUkMnqhCxdqtatA3x9gVWrrNlcB/rqK2DpUmmStngxkCmTw4egG40by+UzreoLFpTVDoBjz7eIUojJeCJKloIFgZEjZX+bvXvl2G3zZuD06SR+yPJGuHIlcPGiQ8ZpF6dPA5UrA1OnylLQd9+VyfVkHrwa1dWr0kJo5Eg5Rm7XTrouREdrPTIN9OsnCzdS0K4+IQ8PD9SrVw89e/ZE9gQrmDNlyoRGjRph6NChaNmyJXLlysUqeKI0qlChAsqVK6f1MHSjbt26yJw5s9bDsD9VlW1rGjQAbt2yJuRr19Z6ZKQlRZE2U5ZFeZ98Ivs/xcba5/Fu3wbmzJEW+ZkyAa1ayed37kgpSffuMkl54wawaBFQuLB9xkHOxWQCPvhArn/9tcSfiIjI4LJly4bOnTujS5cuyJo1K4Ckk/KKoiAgIABdu3ZFgwYN4O5q209ZWtRnzZrsbZ9Sk4zPlEk6yQNSHW83/v7At98CmzbJpPWlS9KltXNnOR+Ljgbat5durV5ewIoVQFiYHQeUuG3brGtzJ0yQBlWUepZ949etk7UW8UaPlu5kW7bInD2RE2IynohSrGxZoF49uT57dhI3LFJE9suOi5MWra5o2TJpX3TwoBxRrl4trR6NUuGXSuvWAaGh0hHVxwfo2FG+/vXXskVp/N4+RvHfdvVTp6bqbrJmzYru3bujffv26N69O/r06YMKFSqwCp7IhhRFQaNGjZAvXz4ubkkDk8mE3Llzo1KlSloPxf7u35c238OHyzHP669Le7w8ebQeGTmL4cPlvd9kkssOHf4ze5QGly5JxXvdurJQ9LXXgOXLZUPKPHlkJeSmTcCVK1I11KSJTEiSsbRsKec0Dx7IwiEiIiICAOTLlw//+9//0KZNGwQGBj73fcs5YdmyZdGnTx/kcdVj/BTuFw+kLhkPAEOGyGHv6tVSnGNX1atL5ZhlC9H584HixaWEevly6dz6yy8yGelg169Lg6KYGFkXYCnkp9QrW1bWGN+/D2zfnuAbOXNa90gYMSLFRVBEjsBkPBGlSteucjl79kve3954Qy6nT3etN8KoKGDwYCA8HIiIkNWTBw5IKyR6oZgYqYRv0EAOOoODpTBw/nzplBoYKKtCy5SxY7sqZ1WwYJra1VsoioIiRYogZ86cTBQS2YnJZELbtm2RLl06rYfissxmM1q1aqX/16l//pHyBkvfwSlT5JiHyU76rx49gB9/tPanbNZMEqOp8c8/ckxRsaJ14umPP6TiPjhYKkP27wfOngW+/FImKbmQ1NgUxVodP2mSdc9YIiIigqIoKFGiBPr164fGjRvD29s7fptAPz8/vPrqq2jSpAk8PDy0HmrqpSEZnyFDyh4qf36ZTgWA8eNT9rOp4u0tiw137JB29devy/Zh7u5SZKXBXG5srBQmXb4MFC1qbbZKaWMyWavjn2lVDwBvvy3bcR04IHEncjJMxhNRqrRoIYnVCxeAjRuTuGGbNnLDc+dkktAVXLsG1Kghm/oAwLBhkjl2pb2gNPDvv0DNmrJHvKpKF9Zdu+SgE5D/mb17Zf/469elgOvzzw22lY+lXf2DB9Iq1lC/PJFr8fLyQrt27QAkfw9BsmrcuLH+FzP8/DNQvjxw7JhMam3eDPTsyVkWerE2baRVpq8vsHattJq6ffvlP6eqchA1cqRU+hQtCrzzDrB7t/y/VakifUBPnpTKoA8+AEqX5v8iPatxY6BSJema8MknWo+GiIjI6ZjNZpQvXx6DBg1CzZo1UblyZfTt2xf58+fXemhp58DKeEBqUABgwQIH7lxaoYJUBI0ZI8fMixdLVygNvPeetVvokiXSVZ9s44XJ+EyZgKFD5fro0VIxRsD770vB4a1bWo/E8JiMJ6JU8faWFjvASzrQe3vLfj2AtMZ0dnFxMt6dO2URwc8/y+Smq+0F5WArVgClSknVe0CAFH5NnizhT6hgQVmo2qWL/KmHD5dtTe/d02TYjvffdvXff6/1iIgoCZZkMpPxyacoCgoXLozQ0FCth2I/sbHAqFGyH/f9+1J1vG+fJLmIXqZePanUSZ9ejjdr1LBOjiYUEyPHCv37A7lzy8KPjz+WxR/u7tKGaMoUaVO/bZssHi1Y0PG/D7kORQE+/FCuT5kiK2mJiIjoOR4eHqhevTrq1asHT09PrYdjG6lIxlvWjKYmGV++vBzmxsTIlpUO4+kpyce//5aqIA2sWgWMHSvXf/hBivXJdurXl+nVv/+WIsFnDBkirRyOHwfmzdNkfE7l4kXpqPbVV7KVHmmKyXgiSjVLq/olS6ST+wv16CGXy5cDN27Ye1hpM3myTJB6e8vmMxoduLmKqCg5zmneXA7Sy5WTbkBt2774Z3x8ZAHH99/L1k0//yw/d/iwo0atsYIFrdVIaWhXT0SO07hxY62H4DI8PT3RvHlz/S5guH1bqis++kg+HzRIjhuyZdN0WORiKlUCtmyRydAjR4CqVYFTp6Ri+Zdf5CA7a1agTh3g229lEsXXVyrr58+XFkOrV0snhqAgrX8bciV16sgCoqgo6+sYERER6Z+DK+MBa3X8998bpwjn/HlrTVrv3tKqnmwrQwagcmW5vmrVf74ZECAdxABpT/DkiSOH5nzGjAEeP5Yurc2baz0aw2MynohSrWJFoEgRmTdcsiSJG4aGSrY1OhqYO9dh40uxkyetR4qffSYtjeiFTp8GwsJkK1JAOt5s2yZ7Q72MogD/+58sysudW+afK1Uy0KLF/v2t7erfeIPt6omcXMmSJVG1alWth+ESWrRoAV9fX62HYR8HD8rxzJo1smhv/nx5E2T3HEqNEiXkQKhgQdnbvUIFaa3YsiUwe7Ys/MiYEXj9deDXX2VB6+LFMqOn9y0gyH4SVsdPny7/e0RERKR/GiTjGzWSqdX792XPdL178gR45RVrsZJlvpRsz1Iv8VyregDo21f+z8+fN8Y/3ov89Ze1nfH48dzCzAkwGU9EqaYo1ur4JFvVA5JwBKRVvTMmHmNjgddek5UFtWvLGze90E8/AWXKyPal6dNLEdeECVLpnhLlywP790un1chI4NVXgT59DLBwMWG7+j/+MPbBIZGLqF27NooWLarfiu80UhQFoaGhKFq0qNZDsY9582T5/dmzsups506WOVDa5csnCfnQUJntfPQIyJULGDAA2LABuHpVjheaNXt+7x+i1KpeXbZLiIkBPvhA69EQERGRI2iQjDeZZCclQFrVR0Wl7n5cxZAhwJ498vdavFg65pN9WPaNX78+kTlkb2+pCAdkv4CHDx06Nqfx1luSg2nbVhZ+k+aYjCeiNHn1VTm42rJFqptfqEMH6U9+7Ji0f3c248bJZuYBAcDMmfJL0XMiI6XNUrt2sjVBWJgUCqal003GjMDvv1uPkyZPljnC5/b90ZuE7eqHDWO7eiInpygKWrRowWR8IhRFgZ+fHxpZzoj1JCpKEqOvvirt3Ro1kpVoISFaj4z0ImtWYNMm2VBy716p4Pj6a6BmTcDNTevRkV5ZquPnzAFOnNB2LERERGRf0dGyzRHg0GQ8IOuXg4KAS5eAhQtTfz/ObsEC4Lvv5Pq8eUDevJoOR/dKlZL/q0ePgM2bE7lBt26yiP76deCbbxw9PO2tXy/bmrm7Ax9/rPVo6Clmm4goTXLkkMIKQOZyXiggQDK4gFTHO5PDh62Z4K+/lr7p9Jzjx6WV/JQp0hVhxAhg40bb/LnMZuD99yUpnz49sHu3VN6vW5f2+3Zq/fvLPrFsV0/kEry8vFCkSBGYuGDrGaqqonXr1vDU29L/K1dkf+WJE+Xz0aOBFSvSNhtFlJjAQDkOKFuW7QPJMSpWBJo0AeLi5CCciIiI9OvaNZlvcnOTbZGSyZKMz5Ah9Q/t6QkMHCjXx4/X57TX0aOyFScAjBxpbaFO9qMo1ur45/aNByQJbekA9fnn1n9mI4iLk6p4QNrPFiig7XgoHmcSiSjNLK3qZ8+W1/sX6tFDLn/8Ebh3z97DSp6oKKBLF1kl2ry5tKqn58yZI/PDhw8DWbLI4rqPPrJ9wVbjxtK2vmxZ4NYtaV8/duxL/q9cGdvVE7mckJAQxOn2RSnlFEVBpUqVkFdvS/+3b5c3o61bZUHhr7/KybzZrPXIiIhswzJBuXAh8Pff2o6FiIiI7MfSoj4oKNmdQFVV9j4H0r4WuWdPwM8POHJE5hP1ZuBA6YReuzbXODpSkvvGA0D79kDJksDdu7ISxCgWLAAOHJB5jFGjtB4NJcBkPBGlWYsWUtBz4YJUSr9QpUpA8eLS69xZehO9/z5w6JCsDJ06ldVI//HggSy2eO01af1Tu7a0pa9f336PmTev5D569JCD/9GjZZ2EbhcxFipkbRk0bJi0pyUip1WoUCH9VYCnkqIoyJAhA+rUqaP1UGxHVYFJk4AaNaQyvnhx2fivWTOtR0ZEZFtlygCtW8vr3rvvaj0aIiIispdU7Bf/6JHULQFpT8anS2etHB83Lm335Wz27pWO4GYzMH061247Ut26UiT2zz/A6dOJ3MBslgovAPjqK+kQoXePH0t7BkBa2qagEwbZH5PxRJRm3t6y2AwAZs1K4oaKYq2O/+EHew/r5XbuBD79VK5PmSJ7dlK8w4eB8uWl44HJJFtLrl0rC2ntzctL1kbMmCHXf/9dChQPHLD/Y2tiwAC2qydyEWazGSVLlmSr+qdat24NN73sax0ZKSvQ+vUDYmKAV14Bdu0CChfWemRERPbx/vtyjrZ0qay4JSIiIv1JRTLeUhBjNktVe1oNGiSJ0w0bgH370n5/zuKzz+SyQwfuE+9ogYFAWJhcT7RVPSDVXRUqyOoSI+ydPnGiVEvmzClzzeRUOItIRDZhaVW/ZAkQEZHEDTt3Bjw8pBf5/v2OGFriHj2Scu+4OKBTJyA8XLuxOBlVBb7/Xo5Vjh+XY/UNG6SzjaNXeL7+unQKzpcPOHsWqFxZEvS6k7Bd/fr1bFdP5OSCg4PZqh5AjRo1kD0FEzpO7dw5OZOfM0dek8eNk211bDHzRETkrEqWtK6qHjNG27EQERGRfaQhGZ8+vW2aiObKZT3k0Et1/IkTsp4RsG7RTY5laVX/wmS8oliT8FOm6Lsb6a1bsqcsIB0BvL21HQ89h8l4IrKJihWBIkWkqGzJkiRumCkT0KqVXJ8+3SFjS9Tbb8tRU44csmqMAAD37snBca9ewJMnclBz8CBQvbp2YypdWlbNNm0qY+reXYrHHz/Wbkx2wXb1RC4jd+7c8Pf313oYmjGZTAgKCkK1atW0HoptrF1rbb+SKROwbp28DnPrGiIygnfflUVIK1ZINxAiIiLSlzQm421l2DC5XLxYCm5c3bhxUtDUtCkQHKz1aIzJkoz/80/JSSSqTh35iIqSrlB69dFHMrEfGirFkOR0mIwnIptQFGt1fJKt6gFrq/r586VC3dH++MOagJ8+3bZHli5szx7ZOvKnn6R11PjxMieXObPWI5MQ/fKLHFeYTBK2sDB9HLw/o39/+cXYrp7IqSmKgtDQUCgGTdYqioLWrVu7fqt+VQU++QRo2BC4fRsoV05Wf9WurfXIiIgcp0gR4NVX5Tqr44mIiPQnDcn4DBlsN4zQUKB+fWlS+uWXtrtfLVy+LE3VAKn3Im2UKCEd2R8/BjZuTOKGlorx2bOlDazenD0LfPutXP/8c8e3tqVkcfEZNCJyJq++KonSLVuAU6eSuGGtWtJ3/N69l5TR28G9e9L7HJDy7wYNHPv4TkhVga++khzwmTOyx9HWrcDQoRJPZ2EyASNGAGvWSOHi/v1SyLhypdYjsyGzGZg5E/Dyknb1P/yg9YiI6AVCQkKgGnTBTP369ZEpUyath5E2ERGyRc2IEfJG2K2bHMDkzq31yIiIHG/MGFmNu3atnAgQERGRfqQiGX/7tlzaun7pzTflcvp06artqr76Sgqtq1a17ltOjqcoyWhVD0hL3xYtZCWIHhefjhgBREfLapf69bUeDb2AE6VZiMjV5chhfb2fPTuJG5pMUvULOD7ZOGgQ8O+/QP78+tmkKA1u3QJatgQGD5b37NatpUtvxYpaj+zF6taVRHyFCrJSt0kTOY6KjdV6ZDaSsF390KFsV29vp04BGzZoPQpyQZkzZ0aWLFm0HoZDmUwm5MuXD+XLl9d6KGlz/Li80S1fDri7A99/D0ybJguhiIiMKH9+WZQEAKNGsTsTERGRnjhJm3pAuoWXKiWNUidPtu19O8qdO9axsypee5Zk/O+/v+QQ9sMPJXu/eLFMLOvFnj3AokXyu33+udajoSQwGU9ENmVpVT97tiw2S/KGZrNUXjiqPcyvv0oPfUWRAfr5OeZxndS2bXIA/OuvgIcHMGmSNCpIl07rkb1crlzA5s1A377y+YcfysHXzZvajstmBgxgu3pHePAAqFZNWlInuYSWKHFGa1Xv5uaGli1buvTvHLRzJ9yqVJFjjxw55M3kf//j/vBERKNGyUnBpk2y8SYRERG5vidPrCXoTpCMVxRrdfzEidJe3NVMnizTSSVLWhPBpJ06dWSN/ZkzwMmTSdwwOBjo2FGujxrlkLHZnapan1BdusheEOS0mIwnIptq0QIIDJTi8ySLTbNnl5JmQKrR7O3GDete9cOGSR8hg4qLky1ya9QALl6UQuydO4E+fVwrF+HpKdvhzJsHeHtLV80yZYDdu7UemQ2wXb1jfPklcPWqXB86FIiJ0XY85HJKlixpqFb1TZo0QUBAgNbDSB1VhWn0aFT49FMoDx4A1avL/vCVKmk9MiIi55ArlyxOAoDRo7kYlIiISA+uXJFLT88UZdbtlYwHgFdekd3Brl+37rvuKiIjpUU9AAwf7lrzqHrl5yen90AytjJ9/33ZmmnVKtmmztX9/rsspPX0lEo1cmpMxhORTXl5AR06yPVZs15yY0ur+tmzZaMde1FVoHdvOcorUQL44AP7PZaTu3sXaN5ctpKJjQU6dZJcROnSWo8s9Tp1AnbtkkUF//4rhc7ffAMcPgycPg1cuwY8fPiSTg3OiO3q7evGDWv7Jnd34NgxYOpUbcdELicgIAB58+Z16Urx5FAUBcWKFUNwcLDWQ0m91ath/uwzAEDswIGy0ClrVo0HRUTkZEaMkBO6HTuA1au1Hg0RERGlVcIW9Sk4b7VnMt7dXbbLBIAvvnCt+bqZM2U6KU8eoF07rUdDFsnaNx4AChSw5iNGjHDtxacxMcBbb8n1QYNkYS05NSbjicjmLK3qly4FIiKSuGGjRnIwePOm9Eq3lwULZDBubsDcuYbdE/bvv4Hy5WXRnJcXMH26/Dn8/bUeWdoFB8sWOa1aybqOgQOlM0/BgkC2bLJK0myWy6xZ5dgrJASoUgWoV09+rnNnoFcvaZzw7rvAuHHAd9/JKt2lS4E1a2RXhYMHZZvxK1eA+/ftvFd9wnb1PXq49kGisxk7Vv6uZcvK2R8ggb97V9NhkesJCQnRdXW8oijw9vZG06ZNXXvRwdOSi7MNGyJu3DiZASIiomcFBVn3gWJ1PBERketLxX7xgDUZnyGDjcfz1BtvyDaZJ07Yd0rYlmJiZK4QkLlDnlI6D0syfuNGKchK0qhRMjG+datrLz6dOVMKizJmBN55R+vRUDIwGU9ENlehAlC0qLTuWbw4iRu6uQGvvy7X7dWG+9IloF8/uT5mjGuXgKfB0qVAxYqSRM6TR/aL79ZNX+2UAgPl95wwAShcWJLuvr7P3ubhQ2mQcOYM8NdfUvSzfj3w88/A/PnA999LXvaDD2RxYd++wGuvAW3aAA0bStV96dJStJ49OxAQAHh7u6Nbt/r4/Xc7/DHNZmDGDDlIXLfOMVs6GMGZM7LJFwB89pmswihaVBYGWboRECVTsWLFYDabtR6G3aiqihYtWsDHx0froaTe/fvAL78AAC7UqaPxYIiInNzw4XIQvW9f/GsnERERuahUJuNv35ZLe1TGA1Is07u3XLckuJ3d4sXAuXNApkwyp0rOo0gRIF8+KdD688+X3DhHDmuuYORI12rNYPHggeQ5AFlAGxio7XgoWZiMJyKbUxRrdfxLW9Vbjl7WrZMjGltSVaB7d6l0LV/ekKvEYmOl606bNpKIrl0b2LtX9lbXI0WRVlf//CNbgT94IH+DBw+kXf3p09K+fvt22WN++XLpDjBlCjB+vGwd9OabQJ8+QJcuQHg40KABULUqUKqUJOGDgiQJb0rwDnr7tjfCw83x+V2bKlz42Xb1Fy7Y4UEMZvRoIDoaqF8fqFNHljNbquO//lqS9UTJ5OXlhcKFC8Nk0t9htaIoKFOmDAoXLqz1UNJm+XIgMhJqwYK4W7Cg1qMhInJumTNLmylAJvlccYKSiIiIRBor4+2VjAeA/v0BDw+Zo9u+3X6PYwuqCnz6qVwfOBBw5bXqeqQo0oAXSMa+8YAsPvX3Bw4ckMouVzNhgkx8589vXdVCTk9/s4ZE5BQ6d5Zk5datUo39QvnzA3XrylHNjBm2HcT330tvcS8vaU/r5mbb+3dyt28DTZoAn3winw8dKn+OTJm0HZejmUxS3JMli/y7BQcDlStLe/qWLeV/tWdP+fuMGSPbiE+aBMyeDSxZIh2LtmyR47MTJ+Q85t49aU8VGQlcuhSNunXPIy5OQZ8+cjxn8zlLS7v6+/ellxdbhqbegQOydQVgPZMC5Ki9Xj1ZRjt8uDZjI5cVGhqKOJ0lKxRFQUBAABo0aKD1UNJu/nwAQFzHjvpqCUNEZC9Dh8rq07/+ekmrMyIiInJqTpyMDwoCXn1Vrjt7dfzq1VLc4+dn3dGHnEvCfeNfOm2aKZMc7wJSsBMTY9ex2dS1azJ5Dcikv4eHtuOhZGMynojsIkcOKToFJKmZpDfekMsZM2y3Affp07KBDyBvTEWL2uZ+XcThw9IMYM0awNtbco/jxxtuPYJdKYqs88icGejb9yDee0/+dz//HOjUCXjyxIYPxnb1tmPpkNGx47PbViiKVMebTLIKY+tWbcZHLqlgwYLw9PTUehg2paoqWrduDQ9XP7G7elX2IwEQ1769xoMhInIRGTIAQ4bI9ffes905GhERETlWKpLxquqYZDxgzYf+8osUwDgrSy1Hz572/5tQ6tSqBXh6AufPy1bqLzV4sOy3/s8/0jbVVbz3nrS/rVABeOUVrUdDKcBkPBHZjaVV/ezZL6kUbtlS3vwuXZKlhmkVGysbfT98CNSsKVXFBvLjj1L5feYMkDev7IveoYPWo9I3RQFGjIiLb8CwaJEsRrHssWUThQsDH30k14cMkX5eixYB//5rwwfRuT/+kBUq7u7Ahx8+//3gYOvioCFD2JaVks1sNqNkyZK6alUfFhaG3Llzaz2MtFu0SJ7LFSsCbFFPRJR8gwZJUv74cWtXISIiInItqUjGP3xoLRS2d+K5WDGgWTNZAGDZPdDZbN8ObN4sU0mDB2s9GnoRHx9JyAPJbFUfEGAt2HnvPWl/6uyOHwd++EGujxvHzn8uRj8zhkTkdFq0AAIDJVe4YUMSN/T0lA26AdtU/E6YAGzbJnu/zJz57ObeOhYTA7z1FtC+PfDokXTc3rsXCA3VemTG8eqrsp4kIEAO1MPCgLNnbfgAAwcC1asDDx4A334rqyxy55aPDh3kawcOsHopMXFx1vbzvXrJngWJ+eAD6Tu2Zw8nnilFQkJCdNGqXlEUZM6cGTVr1tR6KLbxtEU9OnfWdhxERK4mMBB48025/t57wLx5wK+/yond3r1SRXT5smyjpIP3PyIiIl1KRTLeUhXv7i7bPtqb5XBj9mzpwO1sPvtMLl99VTrBkvNK0b7xANCnjwT1wgWgdWvg8WO7jc0m3n5b5nybN5f5YXIpbFhMRHbj5SX5wSlTgFmzgDp1krjxG28AX34JrFghLWWzZUvdgx45AowaJde//FJKww3g1i1Jwj/txIu33pIiarald7w6dWQtSKNGsmCxcmXgt9+AcuVscOdms1R2//qrPMi2bcDBg7LiZdEi+QAkmVypkqwGCAuT6/7+NhiAC1uyBNi3T/42lteIxGTNCowYIR/vvCMH4z4+jhsnuaxcuXIhICAAERERWg8lTRRFQXh4ONz08Abyzz+SMDKbgbZttR4NEZHr6ddPFjqfOWPd1DUxiiLHWP7+z34EBDz/taS+bvlw9S1SiIiInMHDh8C9e3I9Bcl4S5fH9OkdU3hbtao0Mtu1S2pMEmtkqJW//5YpOEWxLhog59W4sdQxbd0KRETIIWeSvL1lAX+jRlJd1aoVsHy5JDWczZYtsp+D2WxdIUIuRQezbETkzLp2lWT80qXApElJvAkWLw5UqSK9f2bNkpVeKbOOUi4AAQAASURBVBUVJRX2UVFAkyZAt25pGLnrOHhQjhXOnZOc4cyZzDlorWRJYOdO+Tc8dAioUUO2D2ja1AZ37uUlAbYE+cEDYPdua3J++3apUFq/3ro6w2QCQkKsyfmwMKmmN4roaEmuA3L2lCVL0rcfPBj4/nvZaGrChKST90RPKYqCkJAQbNu2Daqqaj2cVKtVqxayZs2q9TBsw1IV36CBPO+jo7UdDxGRq/Hzk05BU6bIZP79+89+RERIVbyqWr9mCzlzSpupfPlsc39ERERGdOWKXPr6pqhAw1H7xVtYEt1t2gDffSdTwo6oyE+OcePkslUroGhRbcdCL1ewIFCoEHDypOxU2apVMn6oRg0ppW/c2HkT8qpqXQ3yxhv8Z3RRTMYTkV1VqCDvD8ePA4sXA927J3HjN96QROK0adJOOqXLL8eOlRbdGTLI/ikG2DdlwQL5s0VGStftn3+Wba9JezlyyKLFV16RYvYWLWRBSq9eNn4gPz+gdm35AKRd0ZEj1uT8tm2SVD54UD4mTZLb5cz5bHI+JES/rRR++AE4fVqScUOGvPz2Xl7Ap59Ka49PP5WFPSlYRU7GFRISgq1bt2o9jFRRFAU5cuRAlSpVtB6KbaiqNRnfqZO2YyEicmV168pHYlRVTkT+m6BPLGmfnK9ZWoNevAiMHi2t8YmIiCh1EraoT8EcqaOT8QDQsqUkUk+dAmbMAPr3d9xjv8iFC9ZTSsuuh+T8GjcGvv5a8uvJSsYDQM2azp2QX7JEWkf4+sr2UeSSdDrrTkTOQlGkOv7tt6XgPclkfNu20kvm9Glg40agVq3kP9CePcDHH8v1yZOBoKDUD9oFxMTIgeCECfJ5gwaSmM+QQdtx0bP8/WXnhV695GSid2/pYPDxx1KsbhdmMxAaKh99+sjXLl2ShS6W5PyBAzLJ+eOP8gFIUr9ixWdb27+0n5MLePBA9oEHgHffld8zOdq1k6P3nTtlMnj6dPuNkXQjc+bMyJIlC65fv671UFLMbDajVatWMNntxcnBdu6Utsq+vrIaioiIbE9RpDWXj49s9ZNW0dFyXhcWJic3b78NFCmS9vslIiIyolTsFw9ok4w3m6V2ok8fmevs3Vv7epEJE2T+tXZtKTYj19CokUznrVol60aTvQ7FWRPyUVGyjSYg1fGp3dqXNKeT2TYicmadO0vicetWWeH4Qr6+QMeOcn3atOQ/QGSktKePjZWN03Xeo/3GDUm+WxLx77wD/P47E/HOyt1d/p0t+eDPPpMizSdPHDiIHDmkRP+rr2SC89494M8/ZVANGkjS/cED6eFk+Vr69ECpUkDfvvIP5qptt7/8Erh2TZZY9+iR/J9TFPlZQPZ+OHjQLsMj/SlVqhQUF+zM0rBhQ2TQ0xuJpYShVSvn6XFIRERJc3eXrcteeUWOPUeP1npERERErsuFkvGAFHNlyiRFLEuXOvax/+vmTWmyCLAq3tXUqCFbwV+6BPz1Vwp/2JKQ9/GxJuQtnZu0MmWKFC5mywYMHartWChNmIwnIrvLkQOoX1+uz5r1khtbkmVLlwK3byfvAUaMkD74QUHWFtw6tX8/UK6c5FF9faX1/8cfywpScl6KInOJs2fLyt5Fi+Q5YTnBcThfX+k8MXq0HFzevi2b23/3nawUyJtX9v+0fK1pU+CbbzQabBrcuAF8/rlcHztWJnhTolIlWeCjqrJE21UXJJBDlSxZ0qX2jFcUBQUKFECZMmW0HortREdbu36wRT0R2dn8+UCTJsAvv/BQwWY++EBWc//8M5Q9e7QeDRERkWtKYzLe0Wu1vb2Bfv3k+rhx2h5Xffst8OgRULo0UK+eduOglPPyAurUkesrV6biDmrWlKIkS0K+ZUvtEvL37lmru95/P/ndPskpMRlPRA7x+utyOXu2FLC/UJkyUo375Eny9gjcuFGqfQEpP9ZTVd9/zJ0rHRsvXJAi3127gDZttB4VpUSXLnIcFxAAbN4s8Tx3TutRQVZzhIRIH7B584CzZ2UJ6U8/yaABaYW0a5e240ypsWOl4r9sWamwSo1PPwU8PYENG2TPAaKX8Pf3R968eV2mOt7DwwMtWrRwmfEmy9q1UsqQJcuL9zkmIkqj2FjgrbekC9jKlTJPV7OmNCGiNCpaNP4Y1PTuuxoPhoiIyEW5WGU8IM0Zvb2BfftkylcLDx4AEyfK9bffTkGbc3IajRvLZaqS8cCzCfk1a7RLyH/6KXDrFlCsGNCtm+Mfn2yKyXgicojmzYF06WSb6g0bkrihogBvvCHXf/gh6WWQERHSwwiQinrLO63OREcDAwfKfNTjx/Jr7tkDlCih9cgoNerUkS0bcuYEjh2T4ut9+7QeVSKyZ5cE9qxZQHi4/CO2bZv8jhVaO3MGmDxZrn/2mVRXpUaePFIVDwDDhsleTUQvERoa6jLV8c2aNYO/v7/Ww7Aty2K+9u2132iQiHTpwQOgdWup2gKAFi2kCmfzZtlTtGNHJ1lw6crefRdwd4dp/XpkTHGPUSIiIkptMt4y7aNFMj5TJmtBl+U4y9GmTZO/QYECMh1GrqdRI7ncvh24ezeVd6J1Qv7ff60FiJ99xrkNHWAynogcwssL6NBBrr+0VX2nTvIDR44Au3e/+HZDhgDnzwP58gFffGGroTqV69elqM/SIXz0aCnOTZdO02FRGgUHAzt3AqGhsp159epyfOeUFAWYPl3OQi5cAF57TVrYO7vRo2UBQf361v5UqfX221Jhe/IkTN9/b5vxka4VK1YMZiffP0RRFJQsWRIl9Lay6/596RUNSLkqEZGNXbgg3Y1+/VWa5yxYAPz8M3DihCyeVRRg4UKgSBFpLKTZtkSuLm9e4H//AwAUmz+fewAQERGllAtWxgPA4MFyPLVqlUwNO1JUFDBhglx/6y1uC+qq8uaVYvLYWGDdujTcUcI95B2dkB89Wh6renXZPpRcHpPxROQwliL2Zctky5MXSpfO2lJ62rTEb/P775IgVBTJ7uutqg9S/V62rFTY+PnJ382yfSK5vhw5JLb168s+VM2bA06b5w0MBBYvlhnn334Dxo/XekRJO3BAZsYBaemUVgEBwIcfAgBMY8fC/f79tN8n6ZqnpyeKFCkCk5O+YCuKAh8fHzTWY0eZ5cuByEigUCGgXDmtR0NEOrNzp1S+Hz4MZM0KbNpkXXCcK5dsybVvn6wDjIqSQ6aCBaWohc11UmHkSKje3sh4/DiUVau0Hg0REZFruXJFLl0sGV+woHQgAhxfe7VwoRQkZ8tm3bWRXFOaW9Vb1Kjh+IT8oUPAnDlyfdw47pWgE845Q0hEulS+vKxKi4yUvF6SevSQy4ULpcotoVu3rK3sBw+WFWI6M2sWUK2atPUvXFgaBLRqpfWoyNYCAiS3/frrUmzeqxfwzjtOWnheurS1RcOIEcCWLdqOJynvvCOXHTrIuG2he3cgOBjKnTso8tNPtrlP0rWQkBDEOeWTGVBVFa1atYK3t7fWQ7G9+fPlsnNnnrASkU0tXCjFMdeuSXej3buBihWfv13p0lKBs3KlbCt1+7acshQvLudALPBOgaAgxPXpAwAwv/uukx4kExEROaH792VfHQAICkrRj2qdjAekuxAgp3eXLjnmMePipBs4IMduXl6OeVyyD0ur+lWrbHAI6eiE/FtvyUlDu3ayEph0gcl4InIYRbFWx7+0VX3VqpKFfvgQ+PHHZ7/Xpw9w9apk9j/6yA4j1U5UFNCvnyRnnzwBmjWTib5ixbQeGdmLu7s0efjgA/n8008lh/TkibbjSlSPHrKNRGys7MV8/brWI3reH3/IgbG7OzB2rO3u12yOX5Kdb+VK6UVLlISCBQvC09NT62E8R1EUlC9fHgUKFNB6KLZ39Sqwfr1c79hR27EQkW7ExQFjxsjLypMn0s1o61Ygd+4X/4yiyATgwYPADz9IddXp00DbttLifvt2hw3f5cUNG4ZoHx8ohw4BS5ZoPRwiIiLXYGlRHxgI+Pqm6EedIRlfsaIUKUVHW+tC7G3FCuDYMSmc6dnTMY9J9lO1qnSavXZNGmimmaMS8mvXyoe7O/Dxx7a/f9IMk/FE5FCdO0ub9W3bgJMnk7iholir3xO2ql+0CPjpJ0mMzZmjq2WKV69KS8tJk+Tz996T/ScDA7UcFTmCoshWQLNmAW5uUnnVoIET7jGqKMCUKUDRonJiZ0nMO4u4OGD4cLneqxeQP79t779ePcQ1agRTbCzMlup7ohcwm80IDg52qlb1iqIgXbp0qFevntZDsY9Fi+R1oGJF6W1IRJRGjx7J+sOnu9XgrbdkNww/v+T9vJubnNKcPCnH9j4+wI4dkpBv0+Yl50MkMmbEqRYt5PqYMUBMjLbjISIicgWp3C9eVa1zURky2HhMKWSpjp8yBYiIsO9jqSrwySdyvU8fzsXqgacnULeuXLfZbkf2TsjHxsoJBwD07Wv7eU3SlPPMDhKRIWTPLklGQPZUTNJrr8kM1q5dwF9/yYHk0zaFGDVKV3vB7tol+8Nv3SorMH/5BXj3Xe4PbzSvvSYHiAEBsgdpWBhw7pzWo/oPPz+pSvL2lgpUZ+pOsWSJbNTq5yevEXYQ++mniDOZYFqxAtiwwS6PQfoRHBzsVK3qVVVF69at4e7urvVQ7CNhi3oiojS6fFnm2xYvlsKUmTOldWlqjs/9/OTY/tQpSc6bTMDSpdK6fsAA4OZN249fT840awY1Y0bgn3+AuXO1Hg4REZHzS2Uy/v59a82FlpXxANCkidSCRERIpyF72rxZ5mY9PYGBA+37WOQ4Nts3PqEaNWTy1h4J+fnzZb/4wEC7zWuSdpjmISKHs7Sqnz37JUW1WbIAliqIH36Qmas7dyRrPXKkvYdpV1FRUhUzfry8Z1evLsfJRYtKW/rmzbUeIWmlbl1ZlJEjh7THqlxZ8stOpUQJYPJkuf7ee9IaXmvR0dbXhTfflNcPeyhWDOcaNpTrQ4Y4V2cAcjq5cuVCQECA1sOIV61aNeTMmVPrYdjHP/8Ae/dK55y2bbUeDRG5uP37gfLl5WUlY0Y51LGcw6RFUJCc1hw6JG3sY2KAiROBAgWAzz+379aTrizGxwdxliqh99930v2ciIiInIglGZ/K/eI9PKQGQ0smEzBsmFz/6iuZ9rGXTz+Vy9dfl+2FSB8s+8bv3Gnjxa/Vqz+bkG/RAoiMTNt9RkZaE/AjRshJCOkKk/FE5HDNmwPp0gEXLyajsLRHD7n87jt5k/P0lPb0LlbVd+cOsHdvFowaZUKNGrLArUoVyRn+8osk51u2lFWYRYpoPVrSWnCwHCiGhMj2BZYuSE7ltdeA7t2ll1fHjtYTPa1MmyblZlmySJLcjv5p3x5qYKBsBDtnjl0fi1yboigIDQ2FoiiajyNr1qyoUaOGpuOwK0tVfIMG9luMQ0SGsGyZ7DF5+bJUru/eLXuW2lLJknJst24dUKqUVHwNHy7nAfPny44b9Ky4Xr2kuu/8efuXxxEREbm6VFbGJ9wvXuPTWADS9CxbNplDXrTIPo9x6BCwevWzyX/Sh5w5ZY5VVWUbdptKmJBfu1Ym9tOSkP/mG+Dff4FcuYD+/W02THIeTMYTkcN5eQEdOsj1WbNecuO6dYHcua3Vpx99JLNiTkxVpbX4vHlA797ypp8tmxvGjq2Mzz83Y/NmqXrJmFEWzo0bJ4nXZcukPTkRIAeMW7YA9eoBDx8CzZoBU6dqPar/mDhRVgxcvy5Paq328HzwQKqkANlLNLkbuaZSVEAA4kaMkE9GjpTHJ3qB4OBgqKqq6RgURUHr1q1hNps1HYfdqKo1Gd+pk7ZjISKXparAxx8D4eEyj9awIbB9u323aqxbVzogzZ4tx34XLsikc/ny3A3nOd7ewOjRcn3sWDlAJiIiosTZIBnvDDw9ZUsfQOZP7XFq/dlnctm2rXQrIn2xtKq32b7xCVkS8r6+aUvI37wpJyKA5D60bktBdsFkPBFpwtLmcdky4N69JG5oNgP/+59cr1YNGDTIziNLuZgY4MAByUu2aycL2PLlA159FZgyBThyBFBVBdmzP0CXLnGYNg04fhy4cQP4+WdZdVmxonOsOCXnEhAA/P67tMmKiwN69pRORU5TLeXtLRup+vnJBltjxmgzji+/BK5dk7MmSzcNO4vr00ce78oV6StL9AKZM2dG1qxZNR1D3bp1kUXP1eI7dwJnzsgJsGV7GyKiFHj8GOjSxbrjzcCBwIoV0s3K3kwmeewTJ2QOzt9f2uTXri2LMY8ds/8YXEa3bnKide0a8O23Wo+GiIjIeekkGQ8AvXrJqd5ff9m+uvnMGeDHH+X68OG2vW9yDpZk/OrVdtppsnp1aXmVloT82LHSKis0lAUGOsZkPBFponx5oFgxeW9avPglN37rLWDhQpkRc4KqvgcPZN/IDz4A6teXA9QyZWSl5k8/AZcuAW5uQIUK0i172TLg33+j8d13f2DatFh07y4tKJl8p+RwdwemT7cWfn/yiVRMOU0xduHC0iIekME5up/+jRvWZPhHH8nGZo7g6Wl93PHjpZUU0Qto1areZDIhd+7cqFSpksMf26EsVfGtWskJMBFRCly/DtSpI12tzGZZTPvVV3I870je3sA778iuO337ylh++026bPXqJflnw/PwsB4Uf/YZcPeupsMhIiJyWmlMxmfIYOPxpEH69Na6i3HjbHvf48dLwUuDBrJ1EOlP5cpS7HTzJrB3r50eJC0J+dOnZXteQP7BTUzZ6hUjS0SaUBRrdfxLW9W7uwPt2zumNCURV64AS5ZIUX758rLffd26wLvvyj6PDx7Im3rDhsCHH0pLyXv3ZP/3L76Q3IDGRZHk4hRFis5nzZKJ4YULZTHLsmX2adGVYu3ayawxIC0hLlxw3GOPHStPwrJlgVdecdzjAvLkrlZNDrAtpXREiShZsqQmrerNZjNatWql+Z71dhUdbS1l6NxZ27EQkcv56y9ZQLt9uxzjr1kjnYi0lCWLFH3//bfM48XGAt9/DxQsKOcahu/O3rGjbFt25w4wYYLWoyEiInI+qprqZPzt23LpTJXxgMzJms1SHLV/v23u89o1YMYMuf7227a5T3I+7u5STAfYuX4otQn5ESNkXqNBA9mrlHSLyXgi0kznzrLYa9s24ORJrUdjFRkpB2OvvSZdqLNnlxzf11/LCrrYWGlF36EDMGkScPCgHKyuWgWMGgXUrAn4+Gj9W5AevfaaHM/lywdcvCh7mjZtKm21NPfFF5IQv31bkvNRUfZ/zDNngMmT5fpnnzl+9aiiWCeB584F9uxx7OOTy/D390e+fPkcnhRv1KgR0qVL59DHdLi1a2WJe5YsUtpKRJRMv/0GVKkCnD8PFCokO14408tIkSLA8uWyE1D58rL2cMwYaUo0a5aTLMjUgtksqxIA2aroxg1tx0NERORs7t6VPXgAICgoRT/qjG3qASBPHplqAqSa3Ra+/hp48kS2Dq1Rwzb3Sc7JrvvGJ/TfPeRbtEg6Ib9rl7TZVRRugWkATMYTkWayZ5dFX0AyquMd5Pp1oFYtoHt3YM4cyfUpimzZ0qcPsGCBTNhduCDX+/SR7zlB93wyiFq1gCNHpBDb3V0WXZYoIR3anzzRcGCenrLnRGCgzGa/8479H3PMGFk9Wr++drPn5crJRq+A7Eth2JlxepmQkBCHVccrioLChQujlBH67M2bJ5ft2zu+pzQRuSRVlbV0zZtLgrt2bTl0KVJE65Elrlo1Gd/ChUDevFLo9vrrwKJFWo9MQ61aySLQBw+ATz/VejRERETOxVIVnyED4OWVoh911mQ8ALz5plz+9JPMzaZFRIS1M/jbb3MrUb1r2FAu9+xxwNZP1apZE/Lr1r04Ia+q1n/q114DQkLsPDDSGpPxRKQpS6v6OXOk4lxL//wDVKoki9LSp5dk56pVciB68KBUwXfoAOTOre04iXx8pDv74cOSnH/8WLoyhIYCf/6p4cDy5QNmz5brEyZIOZe9HDhg3Sda60nYjz6SjV63bpW9A4gSUaxYMZgdtHLL09MTzZs313d7egC4fx/45Re5zhb1RJQMUVHA//4HDB0q81//+x+werVz7YuaGJNJ1hwdPy6LgQEpnjHsGkBFkeMvQE7SLl7UdjxERETOJJUt6gHnTsaXKiXbhsbGSnOctPj+e9litGhRWaBJ+hYUBJQuLdfXrHHAAyYnIb9iBbBliyyYsXR9Il1jMp6INNW8uezPePGitknELVuAypWBs2cln7hjhyQ7GzbUbKt6opcqWlT2y5o3D8iaVRaU1KkjOamrVzUaVIsWMsMNSNmWvXroWyrvO3SwHlFrJWdO62rWt97SuEUBOStPT08UKVIEJgdsp9CiRQv4+vra/XE09/PPckJbqJB0qSAiSsKtW9JMZ9o0SW5/+SUwZYp0GnIVnp4yV+fjI4uFN23SekQaql9fJjqfPJETNyIiIhI6TcYD1qmXadOsY02px4+tOw4OH+74HQ9JG5ZW9XbdNz6hpBLyMTHyzwcAgwfLvCLpHl9qiEhTXl5Ax45yXatW9QsXysrKO3eAChWcu00l0X8pCtCpk1RK9e0rn8+fL4n6SZM06jjxySeyuuXePeCVV6x7ldnKH3/IUlZ3d+eZfH3rLVlqe+YMMHGi1qMhJxUaGoq4uDi73b+iKAgNDUXRokXt9hhOxdKivnNn9hUkoiQdPy77gW7aBPj7SyHKoEGu+dKRIYN0sgTSXhXm0hJWx0+fDpw+re14iIiInIUNkvHO2jWoXj3pCvnwITB5curuY+5cKWDJmdM6J036Z0nGr10ruXCHeFFCfvp0OUHJmNGalCfdYzKeiDRnaVW/bJnk7hxFVSVn2LGjtKxs1QrYsAHIksVxYyCylXTpgG+/BXbvli00790D+vWTrRf27nXwYNzdgR9/lIPK/futlfK2EBdnPVDt1QvIn992950Wvr7Axx/L9Q8/BG7c0HY85JQKFCgAT09Pu9y3oijw8/NDQ8tmaHp39Sqwfr1c5wwKESVh3To5Hjp9WvZc37HDOhnnqgYOlMsVK4BTp7Qdi6aqVZNWZjExwHvvaT0aIiIi55CGZPzt23LprJXxigIMGybXv/km5bUfsbGy1Q8ADBkCeHjYdnzkvCpWlEUmd+7IFrUOU62a7ItlScg3bw68+658b8wYtuQ1ECbjiUhz5coBxYvLAdRPPznmMaOjgZ49gREj5PPBg4HFi6XlI5ErK1dODionTZLjub17peNDv37A3bsOHEiuXNaq1e++AxYtss39LlkC7NsH+PkBo0bZ5j5tpUsXaZkfEcEJYUqU2WxGcHCwXVrVq6qKVq1awcvLy+b37ZQWLZLFOZUqAQULaj0aInJSkyYBjRrJIsWwMFm0WKKE1qNKuyJFZEGBqgJff631aDRm6ZI0fz5w5Ii2YyEiInIGOm5TDwDt2smU07Vr1mmn5Fq2TBYypk8P9Ohhn/GRczKbZZcjwIGt6i2qVrUm5Nevl3/eAgWkyIgMg8l4ItKcolir4x3Rqj4iAmjWDPjhB9kX6JtvZK8gs9n+j03kCGYz0KePdDzq1EkmaidNktb18+fL5w7RsCEwcqRc79FDNrVPi+ho6/29+abztbEwmawbj33/PXD0qLbjIacUEhJi81b1iqKgUqVKyJcvn03v16nNny+XnTppOw4ickoxMbIQsV8/qYDq0kV2ucmcWeuR2c7gwXI5c6aDF1w6m7JlgfBwOcAdM0br0RAREWkvlcn4uDjrMYUzJ+Pd3WW7IQAYP17GnRyqCnz6qVzv319qPMhYHL5vfEIJE/KA/DOyNYOhMBlPRE6hc2fJY23fDpw4Yb/HuXhRusOsWQN4ewPLl8sBGJEeZcsmq4T/+EMqqK5dk+da3bqSqHeI994DatYEHjyQ/eMfPUr9fU2bJkuYs2SRfmLOqGZNoGVLmfl/802tR0NOKGfOnAgICLDZ/SmKgvTp06N27do2u0+n988/0vbDbAbattV6NETkZO7eBZo0kYWIiiLzXLNmAXbaJUQzdeoAwcGyZ+oPP2g9Go198IGcTC5fDuzZo/VoiIiItJXKZPz9+9bEtjMn4wGp9wgMlFPD335L3s/88YfspOjtzblgo2rQQM4PDh60Pk0cqmpV4NAhaVffpo0GAyAtMRlPRE4hKEiKaAFg9mz7PMahQ9LN9vBhIGtWYNMm2aaFSO9q15b//7FjAS8v4M8/gZAQ6fIeGWnnB3dzAxYskCfdX3+l/oznwQPg/ffl+pgxzr2E+fPPZan2ypXA2rVaj4acjKIoCA0NhaIoNrvP8PBwuLu72+z+nJ6lKr5BA+frkEFEmjp1CqhcWd5+fXykFenw4TLppjeKYq0KmzhRugEYVvHisuIUcL5tjIiIiBwpLg64ckWupzAZb2lR7+kpCWtn5u9v7fA9blzyfsZSFd+jB5Apk33GRc4tSxagfHm5vnq1RoMoUECqpMhwmIwnIqdhaVU/Z44UldrSmjWy+OzSJaBYMWDnTuubL5EReHpKh/e//5a2TNHRwEcfyb6pdm/PFBQELFwoFUszZqRuP4ovv7TuqeTsG3sVKiR9cQFg6FCDz45TYkJCQqDaaL+IGjVqIHsq9gJ0WarKFvVElKhNm4CKFaX7T86cwNat0qxGzzp2lEnFf/+VhQeG9t57shhy7Vr5ZyAiIjKiW7dkwgeQdokpYEnGZ8hg4zHZyYAB8ta/davM8yZlzx6pjHdzc95Gi+QYjRrJpSat6snQmIwnIqfRrJm0Qbp4USp3bWXaNGlV+eCBdJDetg3Im9d290/kSvLnlxZey5bJRPXZs/L8aN1aJnLtplYta2V7nz7AkSPJ/9kbN6TaHJAVBK6wp9Lo0XIGe+SILEAgSiBTpkzImjVrmu5DURQEBQWhWrVqNhqVi9i5EzhzRvZZa9FC69EQkZOYPh2oVw+4fRuoUAHYvRsoXVrrUdmflxfQu7dc//JLbceiuXz5gDfekOsjR8riLSIiIqOx9N7OkkUy1Slw+7ZcOnuLeovs2a2NcV5WHf/ZZ3LZsSOQJ499x0XOzbJv/Lp11nUrRI7AZDwROQ0vL6BDB7memsLZ/4qLk3mYHj2k0v7VV6VC3lUOKonsRVGAVq2AY8eAYcNk2+Xly6VrxPjxdjwYHTFC2kpHRsreSA8eJO/nxo6V25YtK/vOu4L06YF335Xro0cDERHajoecTqlSpdLUqt5kMqF169YwmQx2OG+pim/VShLyRGRosbFyLPPGG3L80q4dsHGjNOUxit69ZZ3izp0vrwrTvVGj5KRy2zZg1SqtR0NEROR4qdwvHrBWxrvSvOmwYXK5fDlw8mTit/nnH2sHobfecsy4yHmVKwdkzizTdNu3az0aMhKDzd4RkbOztKpftgy4dy/19/PkiayO/Phj+XzMGNmL3hUKaokcxc9PVg8fOACEhQEPHwJvvgmUKSNzmDZnMgFz5wI5csjZUM+eL69aOnsWmDxZrn/2mdyHq+jdGyhcGLh+HfjkE61HQ06mZMmSaWpVX79+fWQy2kZ30dHAjz/KdUsJBBEZ1v370ob+iy/k8/fek11xnH2PU1vLmtW6a4fhq+OzZ7duFTRqlKzOJiIiMhKDJeOLF5duj6oKTJiQ+G3GjZPvN2smWzWSsZlMQMOGcp2t6smRXGhGm4iMoFw5OZB6/Bj46afU3cft29KmcuFC2Qto5kzpjp2GAkQiXQsOBjZvlm7qGTNKZ/WqVYFu3YCbN238YJkzSzLNbAYWLACmTk369qNHSwKuXj2gTh0bD8bO3N2l1QAgs+Pnzmk6HHIufn5+yJcvX4qr4xVFQd68eVG+fHk7jcyJrV0rL0pZsrje64GdHT0qe2Uz90RGcf26N2rUcMNvv0kh9KJF0pDGqMf7gwbJ5dKlwIULmg5Fe8OHA/7+stp06VKtR0NERORYBkvGA1JUAkiX1evXn/3epUvAnDly/e23HToscmLcN560wGQ8ETkVRbFWx6emVf2ZM0CVKsCWLUBAALB6tfX+iOjFTCbg9delYN2y3ebMmUCRInbY8jwsDPj0U7k+YACwf3/itztwwNqS2nJ7V9O0KVC7trTreOcdrUdDTiY0NDTF1fHu7u5o2bJlmlrcuyzL60H79rLajgDILh7h4bJH9kcfyZ/n8WOtR0VkPzt2KHjzzeo4ckRBtmzApk3Snt7IQkLkcCM2Fpg4UevRaCxTJmDIELk+ZgwQE6PteIiIiBzJgMn46tWB8uXlHGjSpGe/99VXUt9RrZrMFxMBQP36Mg965Ajw779aj4aMgsl4InI6nTvLG+L27cCJE8n/uZ07gUqVJJmYK5e02WbhHFHKZMwI/PCDPH9CQqTTRPfu1s7QNjN0qPQIi4qSfeAT25fCkrzu0EF657siRZFeaYoiZXs7dmg9InIiRYsWhdlsTtHPNGnSBIGBgXYakRO7fx/4+We5zhb18VRVdsQ4flwaj3h4AIsXy+TC7dtaj47I9ubPB+rVM+PePS+EhqrYvRuoUEHrUTmHwYPl8ocfZJGOoQ0ZAmTIIC+O8+ZpPRoiIiLHsUEyPkMGG47HARTFWh0/aRLw6JFcv3MHmDJFrrMqnhLKmFFyCACwapW2YyHjYDKeiJxOUJB175bZs5P3M8uXA7VqATduSM5u506gZEn7jZFI76pUAfbtk8J1QE5sIiNt+ACKIk/wvHmlpUX37s/uH//HH8CaNdLqfexYGz6wBkJDpec/IDPladgnnPTF09MTRYsWhcn08kNyRVFQrFgxBAcHO2BkTujnn+VFqFAh2dOGAADTp0ueyWwGli2TjkCBgdIhqGpV4Px5rUdIZBtxcbINQ+fOQFSUgooVr2DjxhjkyqX1yJxH48ZA4cKyvjE1HcZ0JSDAOuv+3nvSocgZ/P23tDAoWhQ4dUrr0RARkR6lIRlvWczrapXxANC6NZA/P3DrlnR5BIDvvpMFisHB1rbkRBaNG8slW9WTozAZT0ROydJafvZsabf4IqoqWzGHh0s7oiZNpFVlKo45ieg/3NyATz6RThP//gt88YWNHyB9euCnnyThvnSpta+qqlonUHv1kjMqV/fhh4CvL7Brlx3aDJArCwkJQVwyNvn28vJC06ZNjdmeHrBWNnbubNxNof/j8GGgf3+5/tFHknyvVQvYuhXImRM4dkxW+x84oO04idLq0SOgbVv5PweAN9+MxfDhu+Hrq+24nI3JBAwcKNe//loWMBha376yyvv8eWDaNG3H8vixrCYpXRrYsEFauTVtai1BJCIishUDtqkHZHGyZZeaCROksdrXX8vnb7/NU0h6nmWBxvr1zrNuk/SNyXgickrNmsnB36VLUiCbmNhYmXAaMsTapvXnnwE/P4cOlUjXfHyAzz6T6598Yj2vs5ny5a1Z/mHDJFm9ZAmwd688mUeNsvEDaiQoyNp2/623uCkVxStQoAC8vLxeeruWLVvCx8fHASNyQlevyhkyAHTsqO1YnMT9+7LDx+PHsqLf0pYRkM5AO3ZIBcjVq7KH4tq12o2VKK26d5c1ex4eslD3o4/ikIyGIob02mtyDnXqFPDbb1qPRmM+PtbjyLFjrT1rHe3PP+UF+aOPZNPaZs1kpes//8gLeXS0NuMiIiL9iY2VEwDAcMl4AHj9dWk/fuaMFG3duCHNGNu21Xpk5IxKlQKyZQMePpQF7UT2ZrdT2NmzZ6NkyZLw9vZGuXLlsCONe6Q+fvwYI0eORN68eeHj44OWLVviciIZgeXLl0NRlEQ/Nm7cmKYxEJHjeHnJNtFA4m0WHz6UFkSWQtpx42RfIDc3hw2RyDDat5fqykePgBEj7PAA/foBbdrIZGTbttak9bBhQJYsdnhAjQwZImeC//4LlC0rk7NkeGazGcHBwS9sVa8oCsqUKYPChQs7eGRO5McfpcSzUiWgYEGtR6M5VQV69gROnJAK+Nmz8VxiMmdOaVVfu7a0ZmzSJPlb/xA5k19+ARYtkmqnNWuALl20HpFz8/UF/vc/uf7ll9qOxSm88YYce129Cnz7rWMf++ZNafdWp46sjggKklUlv/wCrFghwfrjDzkO5hZGRERkC9evy3mTyZSquRRXT8b7+EhjHABYt04uhw3jXDElzmSyVsezVT05gl2S8ePHj0fXrl3x4MED9O7dGyaTCXXr1sXJkydTdX+qqqJt27b4+OOPkT17dvTq1Qv79u1D/fr1ERUV9cxt9+3bB3d3d4wcOfK5jzx58tji1yMiB7G0ql++HLh71/r1q1eBmjWBX38FPD2ly/WwYWw5RGQvigJ89ZVcnz1b9pK3+QNMmyZJtgsXgNOn5cTR0mNML7y9JQFfurQs0a5XD/j8c07AEoKDgxNtVa8oCvz9/VG/fn0NRuVELC3qO3XSdhxOYupUYOFCmVT68UcgU6bEbxcYCKxaJX+2mBg5rho7li855Dru3pXOV4B0f6hZU8vRuI5+/eT1YeNG4OBBrUejMQ8P2TMekFZP9+7Z/zFVFZg7FyhWTA6cFQXo00f2DmndWj4PDZUXckWRF3VLH10iIqK0sBQuZssmKxlTyNWT8YAcB1kaz2XOLNXyRC/CZDw5ks2T8efOncPIkSNRoEABHDhwABMmTMC2bdtQqFAhDLRsYJZCCxcuxIoVKxAeHo5t27ZhwoQJ2Lp1K86cOYOvLNmBp/bt24fChQtj7Nixz33ky5fPBr8hETlKuXJAiRLSgvWnn+RrR49KYdzevTL5/Oef0t2PiOyrYkXZqhkABg2yQzInMBBYvFhW2ADAmDGAv7+NH+R5qurgxFS+fMC2bZIVi4sDhg+XrgAREQ4cBDmbnDlzIjAw8Lmvq6qK8PBweFqeF0b0zz/ypm82s78gJLFmOaX65BOgSpWkb+/hAcyZI/skAsDo0UCvXpKcJ3J2Q4cCV64ARYoA776r9WhcR86c1vMjVsdDDmCLFQNu35ZNZO3p9Gmgfn1p4XDzpuwbsm2btHD77/t8s2bA+PFyfcgQ7itARERpl4b94uPirIVQrpyMz5xZzncAWcxp1J3eKHnq1ZOphuPH5TCOyJ5snoyfM2cOoqKiMGbMGKR/+srt7u6OoUOHYs2aNbh161aK73PatGlQFAXjx4+H8rT0NU+ePOjQoQMWLFjwzG3379+PUqVKpfn3ICLtKYq1On7WLGDDBpl0Pn9eCmh37Hj5JDQR2c4nn0hx99atsq27zZUqJRORn34qPZjtLDZWWjdnzy4F+Q7j7Q3MmAFMmSKZsmXLgAoVZLURGZKiKAgNDY0/zrV8rUqVKsidO7eGI3MC8+fLZYMG+tq2IhUiIiTB9uQJ0LRp8puHmEzy+j1pklyfOhVo2VK2/CFyVuvXy1ulogDTp1srnCh5Bg+Wy4ULZUGDoZnNwIcfyvUJEyRJbmvR0XL8WrKk/PN6egIffyztpCpXfvHPDR4s+wqoquwLdeiQ7cdGRETGkYZk/L171kIFV07GA7KV6e7d0kWVKCnp0lm7bzl6RyMyHpsn47dv3w5FUdD0/+zdd9yN9R/H8de5l733TrIKIRQtUalUQmkQoiKUFSWjrGRVhCRlRWlYoaKhRFIomckmW/a6x/n98fmdDln3OOdcZ7yfj4fHdd33fe7r+tyue5xzfb6fz+fee895f61atUhKSmLhwoUpOp7b7WbJkiWUL1+eK6644rxj/v777/zz/x4qO3bsYO/evVStWjVNX4OIBI/Gje3+yU8/2X34w4fhxhvtbY2NFQmswoWha1fb79LFulb43O23W7V4AIZ6DR9uLZx373ag4s7lsgUHCxfaf+z69ZaQ97QBkYhTvnx53P+/++FyuciVKxe33Xabw1E5zO32JuMjvEW92w1PPWVjh4sWvfCc+Mtp08bW/qRPD3PmwG232VhJkWBz7Jh9v4PN/bzxRmfjCUVVq9r/W3w8jBrldDRBoEEDqFzZvrlee823x16yBK67Drp1syfHtWvDqlX2dlzcpT/X5bI7v7Vq2Qqp++6zJ6YiIiKpkYZkvKdFfYYMob8IMibGngtpnKkkh+c+5+jRehom/uXzZPyePXsoVKgQOXPmPOf9hQoVIl26dGzatClFxzty5AgnT56kQoUK532sRIkSAGzevBmwFvUAX3zxBcWLFyd9+vSULl2a/v37nzdbXkRCQ4ECcNddth8fbx1qv/764vNRRcS/unSBQoWsQ0Uotz7980946SXv2xMnwurVDgRSrRosX+69Cfvww9aXVz2kI07u3LnJnz8/YMn4hg0bEhOARSlBbckS2LQJMmWCevWcjsZRo0fbWh3PnPj/vNRKtnr1bMRPrlzwyy9WsLlhg29jFUmr7t1hyxYoVsy6OkjqdOhg29Gj4eRJR0NxnssF/fvb/siRsHNn2o955IgNpq1RA/74w36xTpgA8+enbNV4bKy1nCpVCrZvt1/UEX/BREQkVXyQjA/1qniRlLrjDhvNeeoUDB3qdDQSzpJ9h2/atGksX778ko+pXLkyR44cIU+ePBf8eLZs2fjb80chmY78f4bqhY7pma35999/U7lyZX799VcAlixZwgMPPECOHDn4+uuv6dGjB7/++ivTp0+/5LlOnz7N6dOnzzt3fHw88fHxKYrbFzzndOLc4n+6vsnXqZOLpUujadEiid69k4iKssR8KNH1Dl+Rdm3j4qBfPxdPPBHDq6+6adw4gQIFnI4qZRIToVmzaE6diuL225PIlAlmzozixReTmDYt8ZKf65frnT07zJ5N1MsvEz14MLz+Okm//kriBx/A/5Oz4oxA/3yXL1+evXv3cuutt5IrV66I+b1yMVGTJhENJNWrR2JcXJr/+Ifq7+sVK6BDhxjAxauvJnLddUlp+q+oUgW+/x7uuy+GTZtc1KjhZvr0RK6/3u2zmINBqF7vSLd4sYu33ooGXIwalUC6dO7zvt91bZOnbl0oViyGrVtdTJyYQIsWofkz7rPrXasW0TfeSNSiRST26UNSGnqRumbMILpjR1z/T+onPf44iQMH2orx1CyozJwZpk8n5uabcS1dSlLTpvY8MKUtUEKQfp4ji653ZNH1DrzonTuJAhLy5cOdwv/3fftcQAzZs7uJj7/83zJd38gRCde6e3cX998fw6hRbjp2TOAi6c2wFAnX159S8v/mcnv6YV5G8+bNmTBhwiUf06xZM3766Sfy5MnDjz/+eN7HixQpwn333ceoFPRJ27VrFwULFqR79+7069fvnI9t3LiRq666iqlTp9KoUSP69u3LokWLmDBhAvny5QMgMTGRBg0aMGvWLH744Qduvvnmi57rlVdeoXfv3ue9f8qUKWTMmDHZMYuIiISzpCR44YVb2LAhB7Vrb+XZZ39zOqQUmTGjBOPHlyNDhniGD/+O06ejee65WiQluXjttR8oU+Yfx2IrsGQJlYYNI/bkSU7mzMkvXbvyT5kyjsUj4hRXQgJ1WrQg3ZEjLH75ZfZVquR0SI44fjyGTp1qsmdPJqpV20W3bkt91m7x0KF09Ot3PX/9lYO4uASef34Z1aqpL58458yZKDp1qsmOHVlC8vlFMJo5swTjxpWjaNEjDBv2XcS3a825ejU3d+9OUnQ034wcyYkULnpMv38/Fd59lwI//wzAsQIF+L11a/Zfe61P4su1ahU1XnmFqIQE1jdqxLrHHvPJcUVEJDLc2rEj2Tdv5qeePdl73XUp+txFiwoyeHBVypY9wIAB5+d1RMKZ2w1dutzCX3/loEGDDTRtusbpkCREnDhxgscee4zDhw+TNWvWSz422cn45KpcuTIxMTEsXbr0vI/lz5+fe++9l7Fjxyb7eEeOHCFbtmx06dKFQYMGnfOxdevWUbZsWSZNmkSTJk0ueow//viDChUq0KlTJ4ZeotfEhSrjixQpwv79+y/7H+kP8fHxzJ8/nzvuuIPY2NiAn1/8S9c3suh6h69IvbZLlri45ZYYXC43S5YkECp5snXroFq1GE6dcjF6tLdKrFWraMaNi+Kmm5L45pvEi96sDsj1Xr+emEaNcK1dizsmhqQhQ0h65hkNPHNApP58BwPX3LnEPPAA7rx5Sdiyxfqzp1GoXU+3Gx59NJpp06IoVszN0qUJPm8befw4PPZYNF98EUVUlJthw5Jo1SrJtydxSKhdb4GePaMYODCa/Pnd/P77xb/fdW2T7/BhKF48hmPHXMyZk8Add4Redbyvr3f0vfcSNW8eSY0bkzhuXPI+KTGRqNGjierVC9fRo/b87PnnSerWzYbr+pBrwgRinnoKgITx43GHeUJeP8+RRdc7suh6B15M4cK49u4l/pdfIIULxcaOddGmTQx16yYxffqlOwaCrm8kiZRrPXu2iwYNYsiUyc2GDQkRMyI3Uq6vvxw5coTcuXMnKxnv80GUBQsWvGAiPjExkYMHD5I9e/YUHS9r1qxkzpyZLVu2nPexvXv3Alz2mKVKlQK8s+UvJl26dKRLl+6898fGxjr6jej0+cW/dH0ji653+Iq0a3vzzfDoo/Dhhy66do3lu++CP1ecmAhPP21zoOrUgaefjvk35j594MMP4ccfo5g/P4q6dS99LL9e73LlYOlSaNkS18cfE92hA9G//ALvvGOzsyXgIu3nOyhMnQqA65FHiPVxoiNUrueIETBtmo0T/vhjF3nz+j7m7Nlh1ixo0wbefdfFs89Gs3NnNK++Gvy/05MrVK53pFuxAoYMsf1Ro5L3/a5re3m5c0PLljBsGLz1Vgz33ON0RKnns+v96qswbx5RU6YQ1a0bXHPNpR+/ciU89ZQ9NwOoXh3XmDFElytHdNqjOd+TT8Jff8HAgcQ8/bTNn7/xRn+cKajo5zmy6HpHFl3vAImPh//nSmKLFbMXESlw+LBtc+eOIjY2+WNSdH0jR7hf6wcegIoV4bffXIwcGct/mnSHvXC/vv6Skv8znw+guvbaa9m3bx/bt28/5/0rVqwgPj7+3/bxKVGhQoULzqv3JP09xzxy5AgHDhw473EHDx4E4NSpUyk+t4iIiFzYa69B+vQ2e3j6dKejubzXX4clSyBrVnj33XMTTYULw7PP2n63btaK31GZM8NHH1nQ0dEweTJUr243Z0XC3dGjMGOG7V+i+1U4+/VX6NTJ9gcPhmrV/HeumBhb69Onj7392mvQtCmcOeO/c4qcLT4eWrSwRXMPPQT16zsdUXh57jl7zvPll7B2rdPRBIHrroMGDaz9SK9eF3/ciRPw4otQubIl4rNmhbffhh9/tIWT/vTqq3ZH+MwZ+4G4TGGJiIgIu/8/bio2FnLlSvGn//P/aX2+7sQlEipcLu9Tw+HDvT8TIr7i82R83f+Xkr333nvnvP/DDz8E4JZbbknVMTdu3MiCBQvOef9HH31E1qxZqVixIocOHSJ37tzntbIHmDt3LgBXX311is8tIiIiF1a0KHTpYvvPPw9nTXoJOmvXQs+etv/GG1CkyPmPefFFyJYN/vgDpkwJbHwX5HJBx47w7beQL58FVqUKfP6505GJ+NeMGXDyJJQsad/zEebQIWjUyBKU9etbIs3fXC77Hfn++7b+54MP4J57vBUyIv40eDD89hvkzAlvveV0NOHnyistrwvw5ptORhJE+va1X3zTptnqp/+aN88S7gMH2iqRBx+0J5OtW0OUz2+jnS8qyn4RV6oE+/bBvffqF7KIiFza33/btkCBVP2tUjJeBOrVg/LlrT5g2DCno5Fw4/NXETVq1KBKlSoMHDiQWbNmATBjxgxGjRpFqVKlqJaKso4nnniCLFmy0LJlS9atW0diYiI9evRg2bJlNGrUiNjYWLJnz07VqlV5++23Wb9+/b+fu3btWnr06IHL5aJx48Y++zpFREQEunaFggWtYCdYn6gmJEDz5rZY4O674YknLvy4nDnhhRdsv2fPIFpccMstsHw51KhhN2Lvv98CTLz8HDeRkDR5sm2bNAmfXunJ5HZbhfDmzVC8uCXHA/lf8MQTMGeONef45hv79bNzZ+DOL5Fn3Tro3dv233zT1p6J73XsaNuJE2H/fmdjCQpXX+3tvNKjh/f9e/fa++vUsV/ERYrYLI9PPrEnvIGUKZMtwCxYENasgYcftie1IiIiF+JJxqfy75WS8SK2jsVTyPPmm1oLKb7llyW9kydPJleuXNSrV49MmTJRv359oqKiGDduHK6z7iZNmzaNHj16XHaWe4ECBRg3bhx///03V199NZkzZ6Z///5ceeWV51TCDxw4kNOnT1OpUiVq1apFzZo1qVChArt376Z3795UqlTJH1+uiIhIxMqc2TppAvTrB3v2OBvPhQwdat1Fs2WDMWMundhq394Wkm/ZYo8NGgULwnffeXvp9+tnZasXGM8jEtJ274b5823/scecjcUBw4fb2A+bE28z3QOtTh0bP5I/v41KvuEGWL068HFI+EtMtHnmZ87YYrkInUoREDfdZN3ZT52ysRQCvPKKzen46iv7pTduHJQtawvCoqLsSeHq1XDffc7FWKiQJeQzZrQ4PasqRERE/kvJeBGfaNjQ1m0ePqyuXeJbfknGlypVipUrV9K5c2cqV65MkyZN+O2336hRo8Y5j5s1axb9+/dn69atlz1mw4YN+fXXX3n88cepUqUKzz//PCtWrCDHWX8hbrrpJhYuXEj16tVZunQpK1eupHbt2nz55Zf09CxpEREREZ96/HG7wXv0qHcFabBYvdo78+nNN202/KVkzAgvv2z7ffva1xQ04uIsU/fBB5Ahg7VQve46WLbM6chEfGfqVEhKsgzwVVc5HU1ALV3qHf0xdKizHforV4affoLSpWHHDrjxRvjPxDCRNBs5EhYvhixZLEEcYY0wAsrlgg4dbH/kSFsAEfGuvBKefNL277rL2pIcPAgVK8LPP9sTxyxZnIzQVK5sz/0ARoywfyIiIv+lZLyIT0RFeRsnvf56kN0XlJDmt2FXOXPmZMiQISxcuJBJkyZRsmTJ8x4zfvx43G43NWvWTNYxr7nmGiZMmMDChQsZPHgwWbNmPe8x1apV45tvvuHYsWMcPHiQL7/8kjp16qT1yxEREZGLiIryziAdOxZ+/93RcP7laU9/5gzUrQvNmiXv81q0sFHV+/bZE++g07gxLFkCJUrA1q2WJXv/faejEvENT8IhwsZL/fOPd078gw9Cu3ZORwRXXGGJ0htvtKqAOnXgo4+cjkrCxebN0K2b7Q8aZN3Axb8aNbLuP7t2WecNwe60pk9vLQMyZoTBg+GXX5xdDXUh9evDa6/Zfvv28OWXzsYjIiLBx0fJ+Jw5fRSPSAhr1MgWpv/zjy1kFfEFvyXjRUREJHLcdJM9WXW7rYOm2+10RHY/9ddfrc3z5drTny021rrAAwwZYkn5oFOhgn1x991nw+1btoSnn7abySKhav16+76OjrZfKBHC7bZZ7Vu3WqHm2LHBUyGcM6dNDWjY0BY2Pfqo/V4Mht/xErrcbvuTdeIE3HKL7Yv/xcV5F/q88YZ+jgFrAz9pErRpA6tWwfPPW+v6YNS1q60yTUqyv5GrVjkdkYiIBJM0JuMPHrStKuNF7JaEpzp+6FA4dszZeCQ8KBkvIiIiPjFwIKRLZ6PNZ81yNpZVq7zt5ocNS/nr0QcftA7wx45B//6+j88nsmeHGTNs5YDLBe++CzffbBk9kVA0ebJt69SBvHmdjSWA3nwTZs60RNknn0C2bE5HdK4MGWx6wHPP2dtduli768RER8OSEDZuHHz9tRUkjx1rHXYkMFq1sp/p5cth4UKnowkSDz5oJU/FizsdyaW5XDbP4ZZbrF/qfffB3r1ORyUiIsEiDcn4xETrhAVKxot4PPKITc7bvx9Gj3Y6GgkHetkrIiIiPnHFFdC5s+137mwF206Ij7fCofh4u0/5+OMpP0ZUFAwYYPtvvw1btvgyQh+KioLu3a1dac6cVlV83XVWyioSStxubzI+glrUL1lixY5glaqVKzsbz8VER9uigaFD7e3hw60w8+RJR8OSEPT339Cpk+337WtjYSRwcuWCpk1t/403nI1FUiEuDqZNs1FFW7bAAw+oK5KIiJg0JOM9iXhQMl7EIybGbreBdd48ccLZeCT0KRkvIiIiPvPii5A/P2zcCCNGOBPDoEGwbJm9iHznndS3e77jDqhd21oze6rsg9add9oXfd11cOAA3HWXrSZISnI6MpHk+fln2LQJMmWCevWcjiYgDh6Ehx+GhAR46CF45hmnI7o0l8uSqB995M0HPfSQfs1I8rnd1g388GGoWtU6LEjgef7fZ86052sSYnLlgtmzrUPSTz/ZqCLNHBARiWynTnn7zKciGe+ZF58xoz3PFxHTuLE1T9q71+4viqSFkvEiIiLiM1mywKuv2n6fPoGft75yJfTubfvDh0OBAmk73muv2XbSJPjjj7Qdy++uuAJ+/NFuyiYlwUsvQYMG5y5zFwlWH3xg2/r1LSHvBzt2wLFjwTEL2O2GZs1g2zZrfRdMc+Iv5+GH4auvrMX4nDkhsFhJgsYnn1gCODYW3nsveEdzh7syZeDuu+330PDhTkcjqVKmDHz6qbUtmTLFRhaJiEjk2rXLtunT22KtFPIk41UVL3Ku2Fi7tQZW+KPOcJIWSsaLiIiITzVrBpUqwZEj0KtX4M57dnv6evV80+m6ShWr/HS7vU/Ag5pnAO+779qS9pkzoUYNvWKQ4BYfb0PJAZo08cspli2D0qVjaN78Lh57LJq5c60i3SlDh1phY7p08PHHkDWrc7GkRs2a9msGLAc0bZqj4UgI2L8f2rWz/ZdegvLlnY0n0nXsaNv339eavZBVuzaMGmX7vXp5/46KiEjkObtFfSpW+HqS8Tlz+jAmkTDRtCkULQq7d9vtNpHUUjJeREREfCoqymYLA4wZE7iK8gEDYMUKewE5erTvqkz79bPCo9mzYdGiECldffJJq5LPmxfWrLFyRJFgNW+eZery5rXkgh8MGQLx8S4SEqL59NMo6taFIkVsXvvq1X455UUtXmwjPcB+V1aqFNjz+0qTJt52182a2a+aULF3L3TrZos0JDA6dLBuOeXKhcjitjB3++1wzTVw7JhuKoa0p5/2rqxo3txGvoiISORJw7x48Ha4V2W8yPni4uy1I1j3zFOnnI1HQpeS8SIiIuJzt9wCDRtat/ROnfw/yvL336FvX9sfMcLm1vtKqVLW+R2ge/eo0BnLefZA3tGjHQ1F5JImT7btI4/4pW/1zp3WzRegY8dfefbZRHLntpXtgwdbcrBaNSsw9NyI8pcDB6zNe2KifbmtWvn3fP42eDDcdpsl9B54AA4dcjqiy3O7rbrhtdfg1lvhu++cjij8TZxoP+ZRUdaeXrNInedyeZ8iDB/ubKcQSaPBg+Hee+3O8P33w9atTkckIiKBlsZkvNrUi1zaE09AoUL2ozZunNPRSKhSMl5ERET8YtAgu+H+9dc2V9hfzpyxYqCEBBs3/cgjvj/Hyy9bB/jFi6P45Zd8vj+BvzzxhCU3f/oJVq50OhqR8x09CjNm2L6fWtSPGmW/H26+OYlbb93J0KFJ7NwJ06fbSIuYGPjlF2jbFgoUsNEUc+b4PjmVlGRJ4B07oGRJ6xwSKnPiLyYmxjojFy0KGzbYJUxKcjqqS/vwQ5t5D3D8ONxzD3z5pbMxhasTJ2zBSbNm9nanTrbwRYJD48aQOzds2+b9NSwhyDM3vkIFa/tx3332t1VERCKHkvEifpUunbe73YABdh9SJKWUjBcRERG/uPJKb+fMzp3992T11Vfht98gVy54+23/JLcKFoT27W3/gw+uJjHR9+fwi/z5bYUCwDvvOBuLyIXMmAEnT1p2ukoVnx/+5Envt367dt4scVycVXLPmGH3rt58EypWtN9Tn35qRYZFikCXLrBqlW9iGTwY5s61hT2ffAJZsvjmuE7Lk8cWNqRPb4sYXn7Z6Ygu7sABbzVwjx7nFpMqGelbK1faj7Rn0clLL9mNKwkeGTLAM8/Y/htvOBuLpFGWLPD555Avn82HevRRQufJqoiIpJmS8SJ+9+STtnh/+3aYMMHpaJJv9WrvYnRxlpLxIiIi4jcvvWRjoP/806pTfe2336B/f9sfOdLuQfrLCy9A9uxutm3LypQpIVTO6umDPWmS9ZIWCSaeFvVNmvhlJc2UKZaALVYM7r//wjMm8uSxxTYrVti/Dh3sfbt326z58uVt6sOIEXas1PjxR+je3faHD4drr03dcYJV5crw7ru2368fTJvmbDwX07mzd255z57w2Wfw4IMQH2/bqVOdjjD0ud3297haNVi71m5YzZ9vf6v9MIVC0qhNG1uctHgxLF3qdDSSJkWLwsyZ3pVRzz/vdEQiIhIoSsaL+F369HZfEKwoKD7e2XiSY98+W4B+zz3B+xo9kigZLyIiIn6TNas3Wd67N+zf77tjnzljrW8TEmw+faNGvjv2heTIAV27WmVtnz7RnD7t3/P5zG23WdXx0aPw0UdORyPitXu3ZekAHnvM54d3u2HYMNtv1846+V5OxYpWIbpzp+U06te3BOKvv8Kzz1pi8cEHYfbs5L/43rfPxmckJlpb6CefTPWXFNSaNPFWnTdrBmvWOBrOeb75xioYXC6r1o6Ls38ffmixJybat+H48U5HGroOHLCfmXbt4PRpqFsXfv8datd2OjK5mPz5rYgaVB0fFq6/3luq9eabMHq0o+GIiEiA+CgZnzOnj+IRCVNPPWVFQFu2wAcfOB3NpZ06Zd0At2yB4sXh1ludjkiUjBcRERG/euIJqwI9dAheecV3x+3Xz9rg5s5tVfeBmL3ctm0SOXOeZOtWF2+/7f/z+URUFDz9tO2rVb0Ek6lTbcD4DTfAVVf5/PALFli33owZoWXLlH1ubKy1Lp82ze5tDRtm1d/x8VZNfd991sa+c2c7x8UkJcHjj1tyv3Rpy4uE+pz4Sxk0CGrWtCYcDzxgv/eDwcmT3iYhbdpA9erej8XEWO7qqafsej3xBKHz+z2IfP+9/a2fOdMWOQwbZl2z8+RxOjK5HM9IoU8+sbabEuIaNYK+fW2/XTv4+mtn4xEREf9LYzL+4EHbqjJe5NIyZrRRdmCFRwkJzsZzMW63vb5dvBiyZ7digly5nI5KlIwXERERv4qO9lZbjR5t84rSavlyawsFlojPmzftx0yODBngkUfWA/bE+8iRwJw3zZo3t+zIr7/aP5Fg4FlK3rixXw7vqYpv1ixtN5by5IHnnoNly6zKt1Mn+52zZw+8/jpUqADXXQdvvXV+94/XXrP5bJ458Zkzpz6OUBAbCx9/bN2SN2ywivOkJKejss4sGzdCoULevx1ni4qytUrPPWdvt2mjKuHkSkiAXr2sCYtn0cnPP9v/ZTgvPAkn115r1y8x0cZxSBjo3t3+tiYmWjuXdeucjkhERPzl2DHvjQm1qRfxu9atrSho40YbixeM+ve32y3R0fDpp1CmjNMRCSgZLyIiIgFw223WujYx0SpJ0+L0aUuuJSbCQw/Zv0CqXXsbpUq52b8fhg4N7LlTLXduuxkLqo6X4LBihS0MiY72y4yJTZtg1izb9yRYfaFCBfu537HDjt+ggSWgly+38xQsaO+bNcvaovfsaZ83YoTNno8EefLA9OnescUvv+xsPL//DkOG2P6oUTY+5UJcLuvq7JkD2KmTd8yKXNjWrdYJoW9fq75o0cIWrVSs6HRkklKe6vgxY+yevoQ4lwvGjoUaNeDwYRsWeviw01GJiIg/7Npl28yZIUuWVB1CyXiR5MuUCZ5/3vb79bN7k8Hk44+99yFGjdLIsGCiZLyIiIgExKBBlrT66iv44ovUH6dvX1i1yhI+I0f6Lr7kio5206ePPdseOtSqY0NC69a2/fBD3ZAVZyUlWetcsNU0fmht8dZblhysU8c/q8BjY61V/Wef2f2vt96y6vj4eEtE16sHt9/ubVPfooXvYwhmlStbUg/sBsX06c7EkZgIzzwTTWIiNGxoowcuxeWCAQOskh6gRw8rMHW7/R9rqPnsM0u6L1pkCxymTIH33rObUxJ66ta1aSGHDnlHjkuIS5/efvkWK2alW56eqiIiEl7S2KIelIwXSak2bSBnTusGN3Wq09F4LV1qxUtgi209EyslOCgZLyIiIgFx1VXQvr3td+pkSauU+vVXa/sMNtPXqVm09eu7qVoVjh8PocrJm26Cq6+2oCdPdjoaiWTjx9vwskyZYPBgnx/+6FF4/33b79DB54c/T65ctrbg119h5Urr/pEvn32sbFn7XRWJ7boff9z7O79pU1izJvAxzJlzJb/+GkW2bLZgIjlcLmu7PmiQvf3qq3ZNlZA3J05Aq1bWbOXQIbj+emt08eijTkcmaREV5f15HTYsOMZLiA/kzetdXfHuuzBvnrPxiIiI76UxGZ+Y6O1yr2S8SPJkyWL3NSF4quO3bbPF56dO2UJbP9xqkTRSMl5EREQCpkcPS6CvW2fz41Pi9GkbfZ6YCA8/bFWOTnG5vIsCRo+2lthBz+WyDApY0MosiRMOHvT2Ae/dGwoX9vkpxo+3G0qlS8Odd/r88JdUvry1RN+xA3780aqGI7lSePBga2N+7Bg88IAlbwNl61aYMqUsYIn1AgVS9vldungT+G+8YdUPkZ6g/OMPqFrVuh64XNCtGyxcCFde6XRk4gvNm0P27FbhM3eu09GIz9x6q7cbzVNPeTMuIiISHtKYjD/7+bmS8SLJ166dPXdeu9a6hjnp6FHr3Ldnj92T+PBDmwgowUXJeBEREQmYbNmszTzYHOGDB5P/ub17w+rVVuQzYoR/4kuJWrUs0Rcfb1WUIeHxxyFDBsuoLFnidDQSiV56Cfbvh2uu8e0w9/9LSvImUJ97zqo9nRATAzfeqBtasbE2s65IEUvwNWkSmIS22w3PPRfNqVMx3HRTEk8+mbrjtGtnY5ddLlvD1KJFcFQ9BJrbbfMGq1a1DgcFCsD8+dY1IDbW6ejEVzJntlwt2AIUCSMDBkDx4lYy1bWr09GIiIgvpTEZ77knkzmznteJpES2bN5OfH37OrdwOzERGje2Ln358sHs2Va5L8FHyXgREREJqJYtbaXmP/945/Jezi+/wMCBtj96NOTO7b/4UmLAANtOmQK//+5sLMmSI4e1FQB45x1nY5HIs3Spd5D4qFF+udvzxReW9M2WzVqji/Py5LGxxenTw5w58Mor/j/n1KnwxRdRxMQkMmpUYpoWZbRsCR98YJUFEybYjY7UjFkJVQcOQP360Latdai55x77e1e7ttORiT88+6x9r3/7bYg8r5HkyZwZ3nvP9t95B77+2tl4RETEd9KYjNe8eJHUa98esmaFVatgxgxnYnjhBfj8c3u9PXMmFC3qTBxyeUrGi4iISEDFxHgrrkaOtJZOl3LqFDRrZqtMH3vMkgLBonJly2273VbwGxJat7bt1Kkpa00gkhaJifDMM/bD8vjjcMstfjnNsGG2ffJJyz1IcLjuOu86jL59LTnvLwcPemdfP/TQn5Qpk/ZjPvaY/cqMjbXtQw9ZYjrcff89VKxoN3ViY+1v9+zZtsBCwlORIvDgg7b/5puOhiK+dtttNm8D7I/k0aPOxiMiIr6hZLyIY7Jn97727NMn8NMg330Xhg61/QkT4PrrA3t+SRkl40VERCTgateG+++3/Nzzz1/6sa+8Ygn7fPlg+PCAhJci/frZAoO5c+GHH5yOJhmqVYNrr7VVDhMnOh2NRIp33oHly61kffBgv5xizRprnR0V5R2PK8Hj8ce9NyqaNrXr5Q9dusDevVC2rJsGDTb47LgNG9oignTpLDldrx6cOOGzwweVhAQbJVOrFuzYAaVK2WSTDh2sZb+Et44dbTtlCuze7Wws4mMDB8IVV8DWrVZGJSIioU/JeBFHdehghQC//24V6oHy7bfedZZ9+kCjRoE7t6SOkvEiIiLiiCFDrNJu7lz46qsLP+bnn715u3fegVy5Ahdfcl11lXfG6osvBn4lbIq5XN7q+HfeCYGAJeTt3Qvdu9t+//62ssYPPIt16tWzXIMEn8GD4dZb4dgxeOABOHzYt8f/7jt4/33bHz06kdhY3/5+q1vXWu1nzGh/t+rWta8lnGzbBjVr2g2dpCR44glYtsw6wUhkuP56qF4dzpyBt992OhrxqbPb1b/9tt3FFRGR0OV2Kxkv4rCcOW3UEwSuOv7PP22xeEKCdXHr0cP/55S0UzJeREREHFGypPcJa6dO9iTybKdOQfPmlgxo0sQSbMGqZ09Lzvz0E8ya5XQ0yfDYY5ApE6xbFyLl/BLSunaFQ4csm+dZCOJjBw96Gz14qq8l+MTGwscfWyvsDRvsd3tSkm+OffIkPP207T/zDFSv7p+7ILVrw5dfQpYssGAB3Hmn7xcVOOWzz6xxyqJF9vVNmWKLGzTyIfJ4quPfftuej0kYqVXL+7e4ZcvwW1EkIhJJjhzxtmoqUCBVh1AyXiTtOnWyW2zLlsEXX/j3XAcO2KLwQ4dsAe1776l7WahQMl5EREQc07OnVbuvWeOdJ+zRq5flivPn986BDlYFClhrKrDZ8YmJjoZzeVmzQuPGtv/OO87GIuFt4UIbXuZywahREB3tl9OMHWvJ2Guv9ds4evGRvHmt3Xv69DZ//JVXfHPcfv3gr7+sKGjAAN8c82Juvhm+/tpmBP70kyXoDxzw7zn96cQJy809+KDd1KlWDX77DR591OnIxCn160OxYrBvH0ye7HQ04nODBkHRorBli7V1EhGR0OSpis+e3aoDUuHgQdvmzOmbkEQiUe7c3pbxvXv7rzr+zBmriP/rL+sGOGOGva6W0KBkvIiIiDgme3Zr4wSWfPesyv7pJ2tjD5akD4UXhl27Wpxr1sCkSU5HkwytWtn200/tbruIr8XHe1+RPvWU9T72g4QEGDHC9tu316rwUHDddd4FWH37WnI+LVautNwSwMiRkC1b2o6XHNWqWVv83LmtAuK222DPHv+f19dWrbKvxbMu64UX4Mcf4cornY1LnBUT4+1e9OabmmgTdrJk8barHznS2nyIiEjoSWOLelBlvIivdO4MGTLA0qUwb57vj+92Wwe477+3p3Kff24L3SV0KBkvIiIijnr6abj6aqsq7NvXqlubN7cnmk2bwn33OR1h8mTLBt262X6vXiHQ1rVyZaha1RKm48c7HY2Eo7feskxfrlzw6qt+O8306bB9O+TJo0reUPL44/Dcc7bftCmsXZu64yQm2lqPhARo0MBm0QdKxYp2MyR/fvjjD7j1Vti5M3DnTwu321qQV60Kq1fb1zBvHrz2mo0TEGnZ0tptrloF33zjdDTic7ff7p3t0aIFHD/ubDwiIpJySsaLBI18+byTgPxRHT9kiI0Qi4qCqVOhXDnfHl/8T8l4ERERcVRMDLzxhu2/9ZYl4v/8015Pvvmmk5GlXLt2ULiwJQZHjXI6mmTwvFJ45x3fDW4WActIvvyy7Q8caAl5P/GMsWjVSi3aQs2QIZbAPnbMkuipmb0+apRVH2TNan9DAu3qq+GHH6BIEVi/3sYkbN0a+DhS4u+/beFCmza2cOzuu+H33+GOO5yOTIJJ9uyWowXv8zQJM4MHW7v6zZu9K0pFRCR0KBkvElS6dLF7Ej/9BN9+67vjzphhHczA7pPefbfvji2Bo2S8iIiIOO7OO6FuXats/Phje9+YMaH3gjB9elsBC9C/f+oSSwH18MOWwdq4UWVv4ludOlmGtXp1eOIJv51m2TJYtMgW9TzzjN9OI34SG2u/84sUsUVYTZqkbF3Q9u3w0ku2P3Bgmu5DpknJkpaQv/JK2LTJZsr/9ZczsVzK5s32c1K8uN3QiY21JOvs2WpxKBfmGf0xdy6UKmUjDe68Exo1sqLqrl2t8cnIkTZbfs4c+528erWtyTp+XC3ug1rWrDB2rO2/9Za1+hARkdChZLxIUClQwNt4yDOSM61WrIDGje05dZs2VgQkoSnG6QBEREREwCokv/rKEvLNm1tyPhQ1bWpfy9q1tu3b1+mILiFTJgt4xAirjldZpPjC119bhjUqysqWo/y3/tdTFf/ww84lYiVt8uaFadPgppssKfzKK8m7ceG5GXHsGNx4o/emh1OuuMIS8rVreyvkv/7aKuedtmaNtZ+fMsXa+oP9nw0fbhNLRC6mRAkb/zFlCmzYkLpjxMRYlX1K/l11lbX6lAC44w6b9fHuuzab4Pff7fmhiIgEPyXjRYJO164werS9Nvz+e+sEl1p//22jO0+csAWxw4bZQlkJTUrGi4iISFAoU8Yqq77/PrTbocbEWFV8gwbw+uvQtq3N4g1arVpZMn7GDNi1y5byiqTW6dP2TQ+2ZLtiRb+davdu+Ogj22/f3m+nkQCoUsW6oTRrZguYKle+/Oz3Tz6x5H1srH2uH9d8JFuhQvY37I47vDPk58/364/BJS1bZlXL06Z531enjnUTuOUWZ2KS0DNxon3P/PMPHDqUsn+JibbIcv9++5dc6dLBZ5+F7sLMkDNkCHz5pXVK6t499OZEiYhEKh8k4w8etG3OnD6IR0QoVAiefNLqEvr0SX0TyhMn4P77rdtU2bI2Jz5G2dyQpssnIiIiQePpp52vbvSFBx6AG26AJUsssTRypNMRXUK5clYiuWgRvP++3YQVSa2hQ63feP78vuvLdhGjR0N8vHXCr1rVr6eSAGja1JLHw4fD44/bHPiyZS/82H/+geees/2XXgqO6nOPfPngu++scmH5crjtNuv6Uq1a4GL44QdLwn/1lfd9DRrYSOgqVQIXh4SH6Gi45pqUf57bbW3qDx2ysT3JTeDv3g07dlg7zl9/hWLFfPSFyMVlzWqV8XfdZb+EGza0eRsiIhLcPMn4VC6oj4+3LlOgyngRX3rhBXtq9e238OOP1gUuJZKSvK+Pc+e2RejZs/slVAmgIKgfEBEREQkvLpe1BAar2Ny40dl4LqtVK9uOGePtYSySUlu2QL9+tj9kCGTL5rdTnT4Nb79t+6qKDx9Dhlg1+bFjtqjp8OELP65rV9izx5L13boFNMRkyZXLKiCqV7fk4u23200Yf3K74YsvLH92662WiI+OtoUNq1dblbES8RJILhdkzgyFC1sy/8YbrdK9cWNroNK9OwwebDcqP/nEukj88os9Z6pRw37+69e3hL4EQJ061qbe7YYWLawcS0REgpfbnebK+EOHvPtK9In4TtGi8MQTtp+a0ZU9e9rrt7g4mD4drrzSt/GJM5SMFxEREfGDW2+1AqOEBHsiHdQefND60m3bdm4ppUhKtG8PJ09CzZrw2GN+PdXUqbB3r7WAa9DAr6eSAIqNhY8/hiJFrMFCkyZWFXC277+HsWNtf8wYa2cdjLJnh3nz7Mfh6FHLc6W2ReGlJCbCp5/CddfBPfdY0j8uDlq3tv/DiRODq3OAyOXExVlyPn9+WLUKWrWKxu12OqoIMXSorZ746y/o0cPpaERE5FIOHoQzZ2w/lZXxnnnxWbKo/bWIr3XrZj9X8+ZZ18zkmjjRupyBve5NaVW9BC8l40VERET8ZMAA2374IaxY4Wwsl5Qhgw1rBuv9LZJSs2fDrFn2anPkSCuJ9BO3G4YNs/22bS2BK+Ejb16bcZ4unX1b9e7t/dipU95RJq1aBf+NicyZYc4cS8SfOGFVwXPn+ubY8fEwYYJNGnnoIfsbkykTdO4Mmzdb5whVUEioKljQEvIxMfDxx1HMmlXC6ZAiQ7ZstsoJbG78okWOhiMiIpfgqYrPlSvVq1M9yXi1qBfxvSuusFbzkPzq+IULbd48WBepxx/3S2jiECXjRURERPykYkVvgfBLLzkayuV5WtXPmQPbtzsbi4SWEyfg2Wdtv1Mnv5fhLlpks7jTp/cmZiW8VKnizQf16QMzZth+//5W7V2gAAwc6Fh4KZIxI8ycCfXq2XiFBx6wxQapdfIkjBoFJUtC8+awbp1V4ffqBVu3Wqv/VHYqFQkqN90Eb7xh+xMmXM2CBf5b5CVnuftu66vqdtv25EmnIxIRkQtJY4t6UDJexN9eeslGh82da+OYLmXjRhvRFB9vzSv79AlMjBI4SsaLiIiI+FGfPlbZ9eWXsGCB09FcQunScNtt1hPa0wNaJDkGDLB58YULB2Qmg6cqvkkTKwSR8NS0qXeNx+OPW5Xsa6/Z2yNGWAFnqEiXzuJv1MhurjRqBFOmpOwYR4/afO3ixa0jxNatkC+fLUrYutU6COjnQcJN27bQpEkSSUlRNG4crbWCgfL665bc2bAhBGYtiYhEKB8k4w8etG3OnD6IR0TOU6IENG5s+5eqjj90CO69Fw4csIXpEyZAlDK3YUeXVERERMSPSpTwFp2/8ALBPffUE+jYsTbsXuRyNmyAQYNsf9gw68vtR1u3equKn3vOr6eSIDB0KNx6Kxw7ZgnshASrLG/QwOnIUi421hLwzZrZnPcmTeD99y//eQcOwCuvQLFi0LUr7NkDRYvagoTNm+19WbP6PXwRR7hcMHJkIsWLH2LfPhcNG9q4CvGz7Nm97Ulefx0WL3Y0HBERuQBVxouEhO7dLbH++ecXHl/pWay9bp3VN8yaZd3VJPwoGS8iIiLiZz172izfpUu97ZaDUv36kCePvbCfPdvpaCTYud3Qrh2cOQN33WXfP342cqQ1b6hVC8qX9/vpxGGxsfDxx3ZTAiBLFktCh6roaEvAt25tPz4tW9r39IXs2gVdulgSvndvu1laqhSMGwd//WUVwxkyBDZ+ESdkyAAvvriUnDnd/PKLt2OG+FndurZ6yO2GFi3Url5EJNgoGS8SEkqVgkcftf3/Vse73VZkMH++3TP8/HMbySbhScl4ERERET/Ll89GaYPNjDpxwtl4Liouzm64Aowe7WwsEvw++wzmzbMe3G+9ZSWMfnT8OLz7ru23b+/XU0kQyZvXqgNq1ID33oNChZyOKG2iomzme4cO9na7djbn3WPLFmjTxtrRDxli3/cVK9qihDVrbE58bGzg4xZxUr58J/ngg0Sioqx5j+dvgfjZG2/YHeH16+Hll52ORkREzqZkvEjI6N7dbpdMnw4rV3rf/9ZbduvN5YLJk+11n4QvJeNFREREAuD55yF3bms9VbeutV0OSk8/bdt582DTJmdjkeB19Kg3m/jCC3DVVX4/5aRJNkvtyivtZ0giR6VKsGgRPPSQ05H4hstlnZ9fesne7tLF/jVrZj9Kb78Np0/bAoQ5c2D5cvvao6OdjVvESbff7qZ/f9tv1w5+/tnZeCJCjhzwzju2P3QoLFnibDwiIuKlZLxIyChb1lrRA/TrZ9u5c6FjR9sfNAjq1XMmNgkcJeNFREREAiBrVlsFmyULLFgAd94Jhw87HdUFXHmlBed2q/RMLq5PH9i5075fXnzR76dzu2H4cNt/9lklJSX0uVzQv7/3ZsyQITBxos2Tv/NO+zvx449wzz1+bzohEjJeeAEaNLDpKA0bwp49TkcUAe67Dx5/3GbEPPEEnDrldEQiIgJKxouEmB49bPvppzB1KjzyiD29atkSOnd2NjYJDCXjRURERALkppvgm2/sxe5PP0Ht2nDggNNRXUDr1rZ9/3274y1yttWr4c03bf+ttwIyuHr+fFi71hazeCYpiISD7t2tE3TGjPDAA7B0KXz1Fdx6q5LwIv/lcsH48VCmjK0He/hhiI93OqoI8OabkD+/tXd65RWnoxERkaQk2LXL9tOQjD940LY5c/ogJhG5pHLlbDGp222J+KNHoWZNG2Gm132RQcl4ERERkQCqWhW++85a1i9bBrfdFoSVXffeazNC9+6FGTOcjkaCidttA60TEixzeM89ATntsGG2feIJ6zIhEk46dLDRJdOn298IEbm4LFm8nYa+/x66dnU6ogiQM6e3Xf3gwbZqSEREnLNvn7VTcrkgX75UH0aV8SKB5amOByhZEj77DOLinItHAkvJeBEREZEAu/Zau4FcoAD88YdVQO7c6XRUZ4mNhSeftP3Ro52NRYLLBx/ADz9YNbynOt7P/vzT5qm5XNaiXiQcqRpCJPnKlLGxDmB/iqZMcTScyHD//dC4sdrVi4gEA09VfN689to9lZSMFwmsihXtnkbZsjB7trpSRBol40VEREQccPXVltMsWhTWr4dbboEtW5yO6ixPPglRUVbGv36909FIMDh0CJ5/3vZ79YJixQJy2rfesm3dunDVVQE5pYiIBLkHHrAxD2BPWVaudDScyDBsmFVgrlkDffo4HY2ISOTywbx4UDJexAnDh9tTqVKlnI5EAk3JeBERERGHXHWVJeRLlIBNmywhv2GD01H9X9Gi3hbkY8Y4G4sEh549bXRBmTLQqVNATnn4sM0HBmjfPiCnFBGRENG7N9SpAydPQv363tm34ie5cnk7Jg0cCL/84mw8IiKRygfJ+Ph4OH7c9pWMFxHxPyXjRURERBxUrJgl5MuUge3bLSG/erXTUf1f69a2HT9e7Ugj3fLlMGqU7Y8cGbDBZu+/b7O0r7kGatcOyClFRCREREdbi/rixW1RY+PGNkJX/OiBB+DRR73t6k+fdjoiEZHI44NkvKcqHiB79rSFIyIil6dkvIiIiIjDCha0GfIVKsDu3VCzJqxY4XRUwF13WYX8wYPw6adORyNOSUqCNm1s+8gjUKtWQE6bmOhtUf/cc5qpLSIi58uZE6ZNgwwZ4MsvrVpe/Gz4cJtTvHo19O3rdDSB9fHHtjhx2zanIxGRSObDZHzWrLa4TURE/EvJeBEREZEgkDevjWevUgX277d8588/OxxUdDQ89ZTtv/OOs7GIc957z74Zs2SBoUMDdtrPP4fNmy3R0qRJwE4rIiIhpmJF70Sdvn1h5kxHwwl/uXPD22/b/muvwbJlzsYTKIMHw8MPQ9u21trquuugXz9blOB2Ox2diEQSHyTjPaNdcub0QTwiInJZSsaLiIiIBImcOeHrr+HGG+HQIbj9dmth76gWLSwp/+OPsGqVw8FIwO3fDy++aPt9+qTphk9KDRtm26eegowZA3ZaEREJQU2aWBcVgMcfh/XrnY0n7DVoYInpxERo3hzOnHE6Iv966y3o2tX2y5e3dj3Ll0PPnlCuHJQubR//6SfrJCQi4k8+rIzXvHgRkcBQMl5EREQkiGTLZm1Wa9WyWdl33WUJescULAj16tm+quMjT7duVjZRoQK0axew065cCQsW2DqQtm0DdloREQlhQ4bAzTfD0aOWKz561OmIwtxbb0GePLZYs18/p6Pxn3ff9a706N7dnqTs3m3vv+ceiIuDDRuscr5GDShcGJ55Br76KvwXKYiIM5SMFxEJOUrGi4iIiASZzJlh9my7v3fyJNx7r73tmFatbDtpEhw/7mAgElA//QRjx9r+qFEQExOwU3uq4hs0gCJFAnZaEREJYbGxNtK7YEFYs8aa+6h7uB/lyWPPDwBefdUqxcPNBx94nwd36mRzEMDmSz35JMyZA/v2wdSp8MgjNtJn1y4YPdpW1ObNC40bw6ef2ipbEZG0SkiAPXtsX8l4EZGQoWS8iIiISBDKkAGmT7dk5OnTUL8+fPKJQ8HcfjtceSUcPmw3GyX8JSRAmza2/8QTNjshQPbtg8mTbb99+4CdVkREwkD+/Jb3jI217eDBTkcU5h58EBo1snb1TzwRXpXgn3wCzZrZio42baz1gst1/uOyZrX/gw8/tCcxX3wBTz8N+fLZc+cpU+ChhyB3brjvPnj/fXuciEhq7N1r4zCio21RVCopGS8iElhKxouIiIgEqbg4y30/9pjlRh95xAp0Ai4qym4qglrVR4q334bffrO7MwMHBvTUY8bYApTrrrNuryIiIilRvToMH2773bo5PO4nEowYYYnmlSutQj4czJplT8CTkqzFwltvXTgR/1/p0llF/DvvwM6dsGgRPP88lChhT25mz4aWLW3VyK23wptvwpYt/v5qRCSceFrU589vCflUUjJeRCSwlIwXERERCWIxMTBxot0HTEqCpk1tRGXAPfGElZktXQorVjgQgATM7t3Qo4ftv/pqmiouUio+3tvxtkOH5N33FhER+a9WrbzPnR55RPlOvzq7XX3//raYL5R99ZVVsickWEJ+zBhbmJpS0dG2qnDwYJspv3Il9OkDlSrZN+YPP0DHjlC8uL2vTx/44w/NVhCRS/PBvHiAgwdtmzNnGuMREZFkUTJeREREJMhFR1sCvm1buz/39NPeiq+AyZsXGja0fVXHh7fnn4cjR6BKFXjqqYCe+tNP7f5S/vzW8VVERCQ1XC4YOdL+lB04YE9hTp50Oqow9tBD1rI+IcFWju7d63REqbNgATzwgLXbb9gQJkxIU+Xpv1wuKF8eevaE5cth82arir/1Vkv0//YbvPwyVKgAJUvac7FFiyxpLyJyNh8l41UZLyISWErGi4iIiISAqCjrkPn88/Z2+/YB7x5uZWZgA72PHg3wySUgFiyw6+tyWat6X9yAToFhw2z7zDM2pkFERCS10qeHzz6zDurLl9vfFhUd+9HIkVYl/8cfULGiVX6HksWL4d574dQp206ZYi2q/OGKK+zJ/IIF1pHovffsnOnSwcaNMHQo3HSTJdtee80/MYhIaFIyXkQkJCkZLyIiIhIiXC4YNMgKZwBefNH2A3Zj+dZboXRpOHbMErYSXs6csfYLAK1bWzlhAP38s/2Li/Ou+xAREUmLokVh6lRb1Dhhgq0zEz/Jmxe+/x6uvhp27YJatWzlaChUd//6K9x9Nxw/DnfcAZ98ErhVgXny2EyFzz+H/fvt3I89BtmywZ490K2btQ4SEQEl40VEQpSS8SIiIiIhxOWCV17xFsn06QNduwYoIe9yebOko0ervCzcvPkmrFljN4X79w/46T1V8Y8+CvnyBfz0IiISpjw5YbBi5MWLnY0nrJUtC0uXwuOPQ2KirRytV887nDgY/f473Hmnjei55RaYMcPaKjghc2Zr9z95srX679zZ3v/MM6Hb+l9EfEvJeBGRkKRkvIiIiEgIeuEF79z4IUOgXbsAFR41a2YtNH//3W62SnjYvh1697b9QYMCfldm504rBANLlIiIiPhS58421jwhwXKdu3Y5HVEYy5TJ2hC8+649Z5w9GypVCs7njWvWWCX8P//ADTdYrBkzOh2ViYuDV1+1OfL791vXIi2EFREl40VEQpKS8SIiIiIh6tlnYcwYK1gfNQqeesqKkPwqZ05o1Mj233nHzyeTgOnYEU6csPmkTZsG/PSjRlmC5Oab7X69iIiIL7lc8P77cM01loh/6CGbziJ+4nLBk0/CkiVw1VWwbZs9x3jrreBJKP/1F9x+O+zbB5UrwxdfQJYsTkd1rrg4W9gQEwPTp9scexGJbD5Ixp8+bS/9wF7ei4iI/ykZLyIiIhLCnnoKJk60Wajvv29dQePj/XzS1q1t+9FHcOiQn08mfvfll/DZZxAdbVnxqMC+RDh50ruuQ1XxIiLiL5kzWz4za1ZYtMjbAVz8qGJFm8fesKE9QX3uOVvUefiws3Ft2WLzC3btgnLlYN48yJ7d2ZgupmJF6NXL9tu18ybiRCTynDljC4ggTcl4T1W8ywXZsvkgLhERuSwl40VERERCXJMmMHWqFc18+CE8/LCfq72qV7cblydPwqRJfjyR+N2pU3ZjF+wGefnyAQ9hyhQ4cACKFrWxsiIiIv5SsiR88IHtjxhhCxr96fRpy5ts2mQTfhYuhHXr/HvOoJMtm82iGTYMYmPh00+hShX47Tdn4tm5E2rXthE9pUvD119DrlzOxJJcL74I111ni2Cfeip4uguISGDt3m3b2Ng0/d7yJOOzZQv4OmwRkYgV43QAIiIiIpJ2Dz4IGTJY4dH06VC/vt3rzJDBDydzuaw6vl07GD3ati6XH050ESdOwOefWzV32bLeWeeScoMGwcaNUKAAvPJKwE/vdtu9ebBvoxi9OhERET+77z4rNO7TB1q1svWFlSvbx9xuW6d29CgcOWLbs/eT+z7P/oW6FUVHW/63Zs2AftnOcrls0d/111tl/F9/wQ034Bo2DPLlC1wce/ZYIn7TJrjySvjmm8CeP7ViY61dfeXKMHcujBsHLVo4HZWIBNrZLerT8Ppb8+JFRAJPt7tEREREwkTdujB7Ntx/v92nu/demDnT2rL6XJMm0LUrrFkDP/5ow779KTERvv0WJk+2JPyxY96PtWsHefL49/zhaNMmGDDA9t94w/r2BtiCBfDHH5Axo42WFRERCYSXX7bu6XPnwm23WYdyTwI9MdH358uUyTuOfPduGyu0cmUEJkKuvx5WrICmTWHOHGJat6ZyzZq2MsHfbeL377cZ8evXWzueb7+FQoX8e05fuuYa6NsXXngBOnSwr6VoUaejEpFA8sG8eFAyXkTECUrGi4iIiISR22+Hr76Ce+6xe4yerc8rjrNlg0cfhffes4Hf/kjGu92wfLn1k/3oI29bPoBixay3+bFjVl2lZHzKuN3w7LNW/nf77Val5gBPVXzTproZJCIigRMVZU8vqlWzpxFHjpz/mMyZLYGeNeu525S+L3Nmq4YHe9pSuTJs2GBV+VOnBra5UFDImRNmzYLBg3F3706RBQtw16jh7XjkD4cOwZ13wqpV1g3om2/suWSo6dwZZsyAn36Cli1t1n3EfQOJRDAl40VEQpaS8SIiIiJh5uabrf3pnXfabNJZs6BBAz+cqHVrS8Z/8gm8+Sbkzu2b427aZBXwkydb9ZJHzpzw0ENWlV+jhiWRv/vO7qJXr+6bc0eKmTOtHDA21obmOnAjd9Mm+94E61wrIiISSDlywM8/2+jy/ybeM2f2zxzdzJnt6U2NGvb0qW5daNbM9+cJelFR8MILJFatSsKDD5J+7VqoWhXGjIHHHvPtuY4ehbvvtor8PHksEX/VVb49R6BER8P48VCxoj3ZHz0annnG6ahEJFB8lIw/eNC2OXOmMR4REUk2P7y0EBERERGnXX+9dW8HGDnSTyepUsXKu86csTmWabFvnwVavTqUKGHDXNevh/TprWp75kzYtctuOt50k93E9dxI/euvtH8tkeT4cWjf3vaffx5Kl3YkjBEjrEC/Th3/FcKJiIhcSs6cUKuWVciXLWtdy7Nm9U8i3qNqVejd2/bbtYONG/13rmDnvvlmFrzxBkm1atnzk8aNbbHnqVO+OcGJEza3ackSu9hffx36TzpKlfKOGerSxVY3hiq32+kIREKLKuNFREKWkvEiIiIiYapVK7uZ/O23NtrdL1q3tu0776T8htrx4zBlipWFFShgd6SXLLGg77jDKn/27LEervffD3Fx536+Jxm/YUOav4yI0r8/bNtm7Vl79Ajoqd1uq0B87TUYO9be51kXICIiEileeME6GR07Zg1/EhKcjsg5p7NnJ3HOHFuI6XLZc8rq1dO+SuHUKahXD374wVZYzJsHFSr4JminPfss3HKLPZd+4glISnI6opRbs8aey9eqde4oKhG5OB8l4z2HyZ8/jfGIiEiyKRkvIiIiEqaKFrUcNsCoUX46yaOPWj/XDRusZfzlJCTAl1/C449DvnxWATV3LiQmwnXXweuvw44ddsO0WTO7eXoxqoxPuXXrYMgQ2x82DDJm9PspDxyAjz6C5s3tvlGlStCtm3WNrVTJKuNFREQiSXQ0TJoE2bLZOsR+/ZyOyGHR0dYu4MsvbezRb79Z96Vp01J3vDNn4MEHrRI+Uyb44gt7nhkuoqJg3Dj72n74AYYPdzqilNm0ycZNbdpkrx+uvx5WrnQ6KpHg56Nk/I4dti1cOI3xiIhIsikZLyIiIhLGPK3qJ0605KfPZc5sJV1gLeQvxO22oazPPWf9X+++Gz74wKp5rrwSevaEtWvh11+hY0erkk8OJeNTxu2Gtm0hPt66EXhWavhYYqIlFl55BW64wcazPvqoTTLYvdvuG993ny0Q+fZb/7YCFhERCVbFinmfOvXtC4sXOxtPULjzTpvtfuONcOQINGxozw3PnEn+MRIS7InHnDk27mj2bKhRw38xO+XKK2HwYNvv1s3GO4WA9AcOEHP33TZ+6pprrO3+tm12zefMcTo8keDmo2T89u22LVIkjfGIiEiy6daXiIiISBirVQvKlLFE/KRJfjpJq1a2nT793DaTGzZYRrZUKcvKvvUW7N1rFU9t29pd57/+gj59LMiUKlHCtv/8AwcPpvnLCHtTp1r2O316q6ByuXx26F27LNn+yCOQN691l+3d29ZguN1QvryNNf3mG6uUnzULnnkGsmf3WQgiIiIh55FHrFlQUpI1CzpyxOmIgkDhwlYt/fzz9vabb8Ktt1rC9nISE6FpU6uoj4uDmTOhZk1/Ruus1q2twvzUKWtBlJjodESXtn8/NV5+GdfmzfY8fv58W8FZq5bNbLj/fnjjDc2SF7mQkye9w95VGS8iEnKUjBcREREJYy4XtGlj+yNG+One1rXXWrI9IcHazA8fDtWqWRK+d29LuGfMCI89ZhUvf/9twVSvnraEcKZM3hsRqo6/tCNHoFMn23/pJaumSoP4ePj+eyvEqlTJLkPz5pbvP3jQkuwPPQTvvWc3e1auhEGD7F5runRp/mpERETCxogRULw4bNni7WgU8WJjrep7xgx7UrFkiT3h+OKLi39OUhI89RR8+CHExMCnn1qlfThzuezJVtas9n/kGUUUjA4fJvree8myYwfuQoVshECBApAjh40nePppu4adOtkig/h4pyMWCS67dtk2QwabcZJKx497c/qqjBcRCRwl40VERETCXLNm1k1+7VpYsMBPJ/FUxw8eDO3bwy+/2PzPu+6ylvR79sDkyXDPPXaD1VfUqj55XnnFbuBcdZWVqKfC1q3wzjtQvz7kymWFZq+9ZmNdAapUgR49YNEi2LcPPv4YWrSwyQQiIiJyYVmz2lOlqCjrYvThh05HFETq1YPly+1JxsGD9jyye3dbAHo2t9tWMowbZ/+RH35oM3EiQdGiVk0O0KsXrFrlbDwXcuIE3HsvUcuXczprVhK++AKuuML78dhYm9nw+uu2wGDMGHsN4ckYisi5LerTsKDd06I+S5Y05fRFRCSFlIwXERERCXNZs1oLVICRI/10kkaNvH3urr/equN37rQKpsaNbTWAPygZf3krV9r1ACu/S58+WZ926hTMm2cFSmXL2j3T1q2tSO3oUZsF36SJd63FL7/YzNsaNawgTURERJKnRg1b0AY2xmXrVmfjCSrFi8OPP9qII4BXX7XW7J4qUbfbWtq//bYlqCZOhAcfdC5eJzzxhC1UOHPGVuEGU1X5mTPQsCH8+CPubNn46ZVXLjyeyuWCjh1tllHmzDZa6YYbbOyViPhsXrxa1IuIOEO3yUREREQiQNu2do9yxgx7Ae7zF98ZM1qJ9IkTge13p2T8pSUl2ZyCxES7MV2nzkUf6nbb/c4vv7R/CxbYaEKP6GibLHDXXfavUiUrPhMREZG069nTFsEtWWKLKL/7zv72CjbjZsQIuPlmePJJm5VTqZJVwH/zjVVUA7z7ri0CjTQul33t5cpZJ4EBA6xK3mkJCXY9vvwSMmYkceZMDh86dOnPufdea7N0333w55+2yHfaNGvJJBLJfJSM91TGq0W9iEhg6faZiIiISAS45hq49VbLyb7zjp9OkitX4F/VKxl/aRMn2g3NTJm8LUzPcuyYFSC1aQMlSkDp0jZl4IsvLBFfqBC0bGljV/fvh4ULrTvsddcpES8iIuJLMTHWbSZzZvt7O2iQ0xEFoYcfhl9/hfLlrS1PrVrQv799bMQIe9ISqQoWhLfesv2+fWHFCmfjSUqyOfCffgpxcTB9Ou4aNZL3uRUqwM8/WyL+n3/gjjvgvff8G69IsFMyXkQkpOkWmoiIiEiEaNfOtu++ax0jw4KS8Rd38CB07Wr7L78MhQvjdsMff8DgwXb/OmdOG8f69tuwebPdK61d2z7+xx92s2bsWOsumj27o1+NiIhI2CtRwnLKYIXNv/zibDxBqXRpax/wxBPe9w0e7G1jH8keewzq17eK9GbN4PRpZ+Jwu23O0bhxtnrzww/hzjtTdoz8+a09xCOP2Nfz5JP2vDYx0T8xiwQ7takXEQlpalMvIiIiEiHq1bPX7n//DZ99Bo8+6nREPlCihG337YPDhyFbNmfjCSbdu8O+ffxT+ga+LtyRL1tal1DPfRyPK6+Eu++21vM1a1pFnoiIiDijaVOYOxc+/tg6fC9frr/N58mYEd5/31YLxsfDAw84HVFwcLlg9GhrrfDHH9Cnj7dzQCC98goMG2b7778PDRqk7jgZMsCUKTZj/pVXbNHFn396W0iIRBJVxouIhDRVxouIiIhEiNhYaNXK9j1VVyEva1bIm9f2N250NpYgkZQEv0xYQ9/RebiRH8m9YTGNHovh/fftHk6GDHDPPTB8uM2I37jRvh/uvVf3NUVERJzmyacWLmx/pzt2dDqiIFa3rhLx/5U3r7U8AnjtNVi6NLDnf/11WwQA1ja/WbO0Hc/lsg5PU6ZAunQwcybcdJM3oygSKZSMFxEJaUrGi4iIiESQp5+2pPzixfDbb05H4yOeVvUbNjgbh4P27rUioSZNIF8+N9WaX00v+rCYG0lKcnH11dYtdN48614/Zw48+6z3v05ERESCR44cMGmS5SHHjoVp05yOSELKgw9ae/ekJEuGnzwZmPOOHQudO9t+v37eGVm+8OijsGCBLTb4/XeoVk1zHCSyqE29iEhIUzJeREREJILkz28dPQFGjnQ2Fp+JwLnxCQnw44/QowdUqQL58sHjj8PkybB/v4usHKZBzCzGDD7M1q2wejUMHQp33AHp0zsdvYiIiFxOzZo2Ihvgqadg505Hw5FQM2KEPfFftw569vT/+aZOtVW/YN+4L73k+3PccINV+pcvD7t3wy23wCef+P48IsHm6FH7B1CgQJoOc/iw7asyXkQksJSMFxEREYkwbdvadvJk+OcfZ2PxiQhJxu/YYQVHDz4IuXPDzTfbGNBly+zjlSpBt+eO833muuwnN5+9vpWnns9G0aLOxi0iIiKp06cPVK5sXW2aN7dCZ5FkyZULxoyx/ddft1Wc/jJnjrVncruhdWtrj+9y+edcxYrBokU2ouDUKWjUyKrw3W7/nE8kGOzaZdssWexfKnla1GfLlqbDiIhIKigZLyIiIhJhbrwRKlSwjpXjxjkdjQ+EaTL+9Gn45hvo0sUKgIoUscq4zz6zioZcuaxj54QJdn9m+XJ49Ug7bjk2l9hK5eGZZ5z+EkRERCQN4uJsVHaGDPD11/Dmm05HJCHlvvusTb3bbas5jh/3/TkWLLCVogkJ8Nhj1nrLX4l4jyxZbHZ8x472ds+e1iLq1Cn/nlfEKWpRLyIS8pSMFxEREYkwLpd3hOOoUWFQZVWypG3DIBm/caPdw7zvPsiZE26/HYYMgVWrICoKqleH3r3h559hzx67Qd+0qXUhZdEiGD/eDjRqFMTEOPmliIiIiA+ULu1NwnfrBr/95mQ0EnLefBMKFbInmS++6NtjL11qT1pPnYL777fnoVEButUcHW0V/6NH2/7kyVC7NuzdG5jziwSSj5Lxnsp4tagXEQk8vz5DmjBhAuXKlSNDhgxUqVKFn376ySfHXbNmDVmyZGHBggUXfczcuXOpVq0amTJl4uqrr+bzzz/3yblFREREwsFjj1l7uo0bYd48p6NJoxIlbLt7Nxw75mwsqRQfbx0LrrrKFkrMng0nTliSvXlz+Ogj2LcPFi+GXr2gWjW77/ivhARvJfyTT9pMTREREQkLTz0F9erBmTP2HO7ECacjkpCRPTu8957tjxgB337rm+OuWgV33WXPvWvVspnxsbG+OXZKtGoFX35pX+fixXD99bB6deDjEPEnVcaLiIQ8vyXjhwwZQvPmzTl27BjPPPMMUVFR3H777WzYsCFNxz18+DD169fn2CVutH7yySfce++9bNmyhSeffJJChQpRv359Fi5cmKZzi4iIiISLTJngiSdsf8QIZ2NJsxw5rGc72OqCELR2rd0/jIqCmjVt1OZvv9l9l3Hj4OGHrVL+ot56C/74wx40YECAohYREZFAcLlg7FhbpLd2LXTt6nREElLq1IGnn7b9Fi3gyJG0He+vv+COO+Cffyz5PXMmpE+f9jhT6/bb4aefbIHuli3WSurLL52LR8TXVBkvIhLy/JKM37JlC927d6dEiRKsWLGC119/nUWLFlGyZEnat2+f6uPu3LmTW2+9lT///POijzly5Aht2rQhR44c/PLLLwwbNoz58+dz11130bp161SfW0RERCTctGlj27lzYfNmZ2NJsxCfG++5MXLttfDdd/DCC7afrJGbf/8NL79s+wMHQu7cfotTREREnJE7N0yYYPsjR1oXHZFkGzIErrgCtm6FLl1Sf5wdOyz5vXs3lC9vLyQyZ/ZZmKlWpozNcbrlFjh6FOrWtcWqIuFAyXgRkZDnl2T8xIkTOXPmDL169SJHjhwAxMbG0rlzZ7766isOHDiQ4mOeOnWK66+/ngMHDtD1EkuAZ8yYwf79+2nfvj3FihX79/0vvPACa9as4TcN1xIREREBbNR6nTrgdsPbbzsdTRqFeDJ+2zbbFi2aik/u3NluOt5wg1U7iYiISFi6807o0MH2W7SAPXscDUdCSZYs8P77tj9mDHz1VcqPsW+fVcRv3WrPvefNu0zrpgDLlQvmz7cfjqQkeO45aNvWxjmJhDK1qRcRCXl+ScYvXrwYl8vFvffee877a9WqRVJSUqraxZ86dYqyZcvy888/U7Zs2UueG+C+++475/3Vq1cnffr0l5wzLyIiIhJp2ra17XvvwcmTzsaSJiGejE91lcI339hA+agoGDXKtiIiIhK2BgywguR9+yzn6HY7HZGEjNtug2eftf2WLeHQoeR/7qFDtop33Tp7wvr11zY3IdjExdlMh0GDrMXUqFFWJZ+Sr1Uk2KgyXkQk5Pnlbt2ePXsoVKgQOf+zOrJQoUKkS5eOTZs2pfiY2bJlY968eRS8zB+dPXv2EBUVxTXXXHPO+2NiYihWrFiqzi0iIiISru65B4oVg4MHLacbsiIxGX/6tHc1RZs2UKmSz+MSERGR4JI+PUyZAunSWYfwUaOcjkhCyoAB9rx5505vm4XLOX4c7r0XVqyAvHktEX9WN9Kg43JZK/5p0yBjRqvgr14dNm50OjKRlHO7fZKMP3zYmqmBKuNFRJwQk5IHT5s2jeXLl1/yMZUrV+bIkSPkyZPngh/Pli0bf3v+gKSAK1kDM21mfLZs2YiLi0vxuU+fPs3p06fPORZAfHw88fHxKYw47TzndOLc4n+6vpFF1zt86dpGlnC93q1aRfHSS9GMGJFE48aJyZtTHmRcV1xBDOD+6y8SfHR9Anm9t26NBqIoWDCB+PjklbhFDR5M9Pr1uPPlI6FXLwiz70tfC9efX7kwXe/wpWsbWXS9L6x0aXjttSg6dozm+efd3HhjAv+pSQkJur4OiIvDNXYs0bfdhmvCBBLuvx/3f7qLnuP0aaIbNCBq0SLc2bOTMGcOFC+equedAb/edevCd98R06ABrnXrcF9/PYmjR+OuWxdiUnRLXFJBP98+cugQsf9vYRefO3eqX/Nt3gwQS/bsbtKlS0jzS0dd38ihax3edH3TJiX/byl65jFr1iwmTJhwycc0a9aMmJgYMmbMeMGPx8XFceLEiZScNkXScu4BAwbQu3fv894/b968ix4zEObPn+/YucX/dH0ji653+NK1jSzhdr0LF44jNvZOli+PZtiwHylV6h+nQ0qxuCNHuBtw7djBV9Onk5gunc+OHYjr/eeftwOZ2LHjJ+bOPXjZx2fYu5daffsCsPzRR9nx/1FNcnnh9vMrl6brHb50bSOLrvf5rrgCKle+geXL81G//gkGD/6B2Ngkp8NKFV3fwLu6Xj1KzphBQsuWfDt8OPFZs573GFdiIlUGD6bgkiUkpE/P4hdf5J+dO62qPg0Cfb3T9+1LtVdfJcdffxHz0EOcypGDHbfcwvbbbuPIFVcENJZIpJ/vtMmyfTu1gDOZM/PFd9+l+jjLl+cFqpMt2xHmzl3gq/B0fSOIrnV40/VNnZTkulOUjB8/fjzjx4+/7OMqV67MmTNnLvix+Pj4i37MFzJlypTqc3fr1o1OnTr9+/aRI0coUqQId955J1kv8KTU3+Lj45k/fz533HEHsbGxAT+/+Jeub2TR9Q5furaRJZyv9/z5LiZNgt9+u4kOHRKdDifl3G7czz6L6/Bh6pQsCeXKpfmQgbreSUlw8KA9LW/U6IZktaqPfvBBos6cIemWW6gwcCAVQrGdQYCF88+vnE/XO3zp2kYWXe9Lu+46qFzZzZYt2Vi06B4GDQqtZLyur4Nq1cJdrRrp163jrtmzSfzgg3M/npRE9JNPErVkCe64OJg+neq1a6fplI5e7wYNSOzdm6hJk0i/fz9XzZzJVTNn4q5QgaQmTUh65BHInz+wMYU5/Xz7huubbwCILVqUe+65J9XH2bXLXi9efXWWNB3HQ9c3cuhahzdd37TxdFdPDr/05ClYsCBLly497/2JiYkcPHiQ7Nmz++O0/5573759nDhx4rxq9r1791L4EkNR0qVLR7oLVFHFxsY6+o3o9PnFv3R9I4uud/jStY0s4Xi9n3sOJk2CTz+N4o03osib1+mIUuGqq2DZMmK3bvXp/HR/X+9du6zbYFQUFC0ae/mumXPmwKxZEBND1KhRRF1gPJNcXDj+/MrF6XqHL13byKLrfWFFisD778P998Obb0Zzzz3R3HGH01GlnK6vA2JjYeJEqF6dqI8/Juqhh+DBB+1jbre9OPjgA4iOxvXxx8TcdZcPT+3A9c6WDV5/HV57Db780r72zz/HtXIl0V27Ev3ii1CnDjz+ONSrZ7PmxSf0851Ge/cC4CpUKE3/j7t22bZIkShiY6N8ERmg6xtJdK3Dm65v6qTk/8x3v3nPcu2117Jv3z62b99+zvtXrFhBfHw8+fLl88dp/z03cN5s+/3797N582a/nltEREQkVFWpAtWqwZkz8N57TkeTSlddZdu//nI2jhTyPGUuWDAZ4ytPnoRnn7X9jh0JyQGxIiIi4jP33QfPPGP7zZrB/v3OxiMhpGpVePFF23/mmX+TfvTsCSNG2P748ZacDhdxcbZ65dNPYfduGD0aatSwVlVffAGPPWYV8i1bwvff2/tFnPT337YtWDBNh/G85kxOFzYREfE9vyTj69atC8B7/7mT++GHHwJwyy23+OO0ANx9991ERUUxduzYgJ9bREREJJS1bWvbt9+GhARnY0mVkiVtG2LJ+G3bbFu0aDIe/NprsHkzFC4MvXr5NS4REREJDUOGQJkyVvn49NNW2CySLL16QYUKtoqjdWsYPBj697ePjRwJTZo4G58/5cgBrVrBokXw55/2f3HFFXD0qLWcqFkTrrzSFif8+afT0UqkUjJeRCQs+CUZX6NGDapUqcLAgQOZNWsWADNmzGDUqFGUKlWKatWq+eO0ABQuXJgGDRowceJExowZg9vtZtGiRfTu3ZtcuXJx9913++3cIiIiIqGsUSPIndteqM+e7XQ0qRDilfGXvTGyYQMMHGj7b7wBmTP7NS4REREJDRkzwpQp1nl8+vQQ7nIkgRcXBxMmWHum6dOha1d7/2uvQZs2zsYWSCVLQu/esHEj/PADPPkkZM0KW7dCv35QujRUr26rlg8edDpaiSQ+Ssbv2GHbS0zwFRERP/JLMh5g8uTJ5MqVi3r16pEpUybq169PVFQU48aNw+Vy/fu4adOm0aNHDzZv3uyzc48aNYoyZcrQqlUrMmXKxE033cThw4d55513yJo1q8/OIyIiIhJO0qe3+05ghTAhJ0ST8cmqjHe7rT396dNw553QsGFAYhMREZHQUKkSvPqq7bdvr0JeSYGKFc/tuNStG7zwgmPhOCoqCm6+Gd5919rYT50KdetCdDQsWWILFPLnhwYNYMYMm/El4k8+SMa73aqMFxFxmt+S8aVKlWLlypV07tyZypUr06RJE3777Tdq1KhxzuNmzZpF//792bp1q8/OnSdPHpYtW0bv3r2pWrUqDRs25KeffqKhblqKiIiIXFLr1nYP6uuvYd06p6NJIU8yfts2S1qHiGTdGJk2Db76yqqXRoyAsxa3ioiIiAB06gS1asGJEzb6WnlCSbYXX7Sq+Dfe8Lapj3QZMljrsNmzYedO+7+pVAni462LQP36liBt1w6WLtV8CPEPHyTjDx+G48dtX5XxIiLO8FsyHiBnzpwMGTKEhQsXMmnSJEp65nieZfz48bjdbmrWrJns4zZv3vyyn5MhQwZ69erF999/z6effkqVKlVS8RWIiIiIRJZixeDee21/1ChnY0mxvHmtdbvbbXPVQ4SnMv6iyfhjx6BDB9t/4QVroykiIiLyH1FR1nE8Rw5YtgxeecXpiCRkxMbaOKQOHbTo80Ly5bP/m+XLYeVK6NIFChSAAwespdj110PZstaewvPkXiSt3G6fJOM9i79z5rSxJiIiEnh+TcaLiIiISOhp1862EyZYHjhkuFwh2arec3Pkom3q+/a1IX/Fi1vbUBEREZGLKFzYOmyDjf3+/ntn4xEJO+XLw6BB9iT+q6+gSRPLcK5fD9272+rm226DceOsTYVIah04YJ0YwMYjpJJa1IuIOE/JeBERERE5R+3aUKoUHDkCH3zgdDQpFGLJ+NOnbRwlXOTmyOrV8Prrtj98uLXLFBEREbmEhg2hRQsrqnz88RBbXCkSKqKj4c47YdIke0I/frzNiXC5YMEC+yGsWTOkxmdJkPFUxefObePKUmnHDtuqRb2IiHOUjBcRERGRc0RFQZs2tj9iRIiNPwyxZPzOnbZNn97usZzD7Ya2bSEhAerV884PEBEREbmMYcOsqc727fD2205HIxLmsmSBZs3gm29gyxZrV58jB/zyizpbSer5oEU9qDJeRCQYKBkvIiIiIudp1gwyZbLC7B9+cDqaFPAk4zdscDaOZDr7xsh54zmnTLHeshky2B11ERERkWTKnBl69bL9wYPVLVskYIoWtQT8hAn29htvwNy5zsYkoUnJeBGRsKFkvIiIiIicJ3t2G38IMHKko6GkTIhVxm/bZtvz5sUfOgSdO9t+jx42e1JEREQkBRo3hiuvhH37YPRop6MRiTD33QfPPWf7zZp5E6siyeWjZLza1IuIOE/JeBERERG5oLZtbTt9uredetDzJOO3bIEzZxwNJTkuWqXQqxfs2QOlSnmT8iIiIiIpEBsLL71k+4MGwcmTzsYjEnEGDYKKFWH/fnj8cUhMdDoiCSWqjBcRCRtKxouIiIjIBZUvDzffbCPLx4xxOppkKljQ2ronJcHWrU5Hc1kXvDGyYoW3HcHIkZAuXcDjEhERkfDw+OPWYGfPHnj3XaejEYkw6dLBRx9Bxozw7beWnBdJLh8k491uJeNFRIKBkvEiIiIiclHt2tl2zJiQKDS3wesh1Kr+vDb1SUnQpo1tH34Ybr/dsdhEREQk9MXF2fhqgIED4dQpZ+MRiTilS8OIEbbfsyf89JOz8Ujo8EEy/p9/vF1RChXyQUwiIpIqSsaLiIiIyEXVrw8FCsDu3dauPiSEUDL+vCqF99+HJUsgc2YYOtSxuERERCR8NG9uzzX+/hvee8/paEQiUPPm8Oij1qb+0Ufh0CGnI5JQ4INkvOf1Zu7c1kBOREScoWS8iIiIiFxUbCw8/bTtezqnB70QSsafUxl/4AC8+KK9o3dvlS6IiIiIT6RL532K8dprcPq0s/GIRByXC0aPhuLFbZTW009b/3CRi0lMtBXx4JNkvFrUi4g4S8l4EREREbmkp5+GmBhYuBBWrnQ6mmQIkWT8kSNw+LDtFymC9ZA9cADKl4dnn3U0NhEREQkvLVpYPmfHDhg/3uloRCJQ1qw2Pz4mBj75BMaOdToiCWb79llC3uWCfPlSfZgdO2xbuLCP4hIRkVRRMl5ERERELqlgQWjQwPZDojo+RJLxniqF7Nkh87Hd3htyo0ZZSwIRERERH0mf3lsd/+qrcOaMs/GIRKRq1aB/f9tv3x7WrHE2ntTatAkeewxmznQ6kvDlaVGfL58t4EglVcaLiAQHJeNFRERE5LLatrXtBx+EwIhDTzJ+82ZISHA2lkvw3BgpWhRrOeB2Q5kycNNNjsYlIiIi4enJJyF/fhuTM3Gi09GIRKjnn4c774STJ+GRR2wbSjZtgpo14cMP4eGHYdUqpyMKTz6YFw+qjBcRCRZKxouIiIjIZd18M5QrBydOhEBr08KFbThqfLw34x2EzqlSWLvW3ihb1rF4REREJLxlyABdu9r+q6/aUyURCbCoKJgwAfLmhT/+sOR8qNi40RLx27fb13H6NDRuDKdOOR1Z+PFRMl6V8SIiwUHJeBERERG5LJcL2rWz/VGjICnJ2XguKSoKrrzS9oO4Vf22bbYtWhQl40VERCQgWrWyHODmzTB5stPRiESo/Pm97SlGjYLp052NJznOTsSXLg3LlkGePNbh66WXnI4u/CgZLyISVpSMFxEREZFkadwYsmaFDRvg66+djuYyPK3qN2xwNo5LUGW8iIiIBFrGjNCli+336xfUE31EwludOt6q+JYtg7qj17+J+B07bKzWd99BxYowbpx9/I03YN48JyMMPz5IxrvdalMvIhIslIwXERERkWTJnBmaN7f9kSMdDeXyPMn4EKiMVzJeREREAql1a8id2/JrH37odDQiEax/f6haFf75x1Y+B+PqmL/+Oj8RX6CAfaxuXWjb1vabN4f9+52KMvz4IBl/4IB3goCS8SIizlIyXkRERESSrU0b237+OWzZ4mgolxYCyXhP8UvRbIdh3z57o0wZ5wISERGRiJA5M3TubPv9+kFiorPxiESsuDhbEZMlCyxcaD+QweRCifj8+c99zODBtqB41y548kkrx5a080Ey3vN6M29eSJfOBzGJiEiqKRkvIiIiIslWujTccYfdYxk92uloLqFkSdsGaTLe7T6rTf3JP22naFHIlMm5oERERCRitG0LOXPCn3/Cxx87HY1IBCtRwvvCqm9f+P57Z+Px8CTid+60ZPuFEvEAGTLAlCkQGwszZ8LYsQEPNSz5IBmvFvUiIsFDyXgRERERSRFPJ8KxY71t74KOpzJ+48agLPfatw9OnwaXCwod/MPeqRb1IiIiEiBZskCnTrbft29QPl0SiRyPPQbNmkFSEjRpYv3FnbRhQ/IS8R4VK8KAAbbfoYOt8pHUi4+HvXtt3weV8UWK+CAmERFJEyXjRURERCRF7r3XirgPHICpU52O5iKKFLHqjDNn7CZSkPHcGMmfH+I2rLY3lIwXERGRAGrXDrJnh7Vr4bPPnI5GJMKNGAGlSlk5c8uWzrV7PzsRf/XVlojPl+/yn9exI9SuDSdO2OKCM2f8HmrY2rPHrn90NOTJk+rDKBkvIhI8lIwXERERkRSJjoZnnrH9kSOdjeWiYmKgeHHbD8JW9du22bZoUewOOCgZLyIiIgGVLZsVsYJVxyclORqOSGTLnBk++sjmyM+cCaNGBT4GTyL+778tEf/tt8lLxANERcGECZAjByxbRlSfPn4NNax5WtQXKGD/r6mkNvUiIsFDyXgRERERSbGWLe0+0S+/2L+g5GlVH4TJ+HOqFJSMFxEREYc89xxkzQqrVsGMGU5HIxLhKlWCQYNsv3Nn+P33wJ37zz9Tn4j3KFQI3n0XgKjBg8m1erXv44wEPpgXD6qMFxEJJkrGi4iIiEiK5ckDDz9s+0FbHR/EyXhPZXyR/PGwdau9oWS8iIiIBFiOHNC+ve336aPqeBHHPfcc1K0Lp0/DI4/A8eP+P+fZifhrrkl+a/oLadgQWrTA5XZT+Y034NAhX0YaGZSMFxEJO0rGi4iIiEiqtGtn248+gv37nY3lgoI4Ge+5MVI03f/nAebObf9EREREAqxDB+uQ/fvv8PnnTkcjEuFcLhg3zlqUr1vnnSXhL55E/K5dloj/9lvImzdtxxw2DPdVV5Fx/36i27Wz1zuSfD5IxrvdalMvIhJMlIwXERERkVSpVg2qVLGijffeczqaCwiBZHyRhM22U6aMc8GIiIhIRMuZE5591vb79FHeTMRxefLA5MmWmB87FqZO9c951q/3JuLLlfNNIh4gc2YSJ0wgKSqKqI8/tq9Fks8Hyfh9++DMGdsvVMgHMYmISJooGS8iIiIiqda2rW3ffhsSE52N5TxnJ+OD7K6yp0190aP/n6OoFvUiIiLioE6dIFMmWL4c5s51OhoR4bbb4KWXbP/pp2HzZt8ef/16O4evE/H/565alfWPPGJvtGnj+/jDmQ+S8Z6q+Hz5IC7OBzGJiEiaKBkvIiIiIqn28MNWTbV1K8yZE7jznj5t93NOnLjEg4oVg+hoOHnSe0MjCMTH2z0vgCJ7frUdJeNFRETEQblzexdZ9u4ddOsYRSLTK69A9epw5Ag8+qi9kPCFC1XE58njm2Of5c+GDUm68UY4ehSaNIGEBJ+fIyz5IBmvefEiIsFFyXgRERERSbUMGeDJJ21/5EjfHPPkSStmX7AAJk2CAQPs5nC9enDddba6P316uPJKG2t40XtScXGWkIegalX/99+QlASxsZB30xJ7p5LxIiIi4rDOne253S+/wFdfOR2NiBATA1OmQLZs8PPP8PLLaT/munWWiN+9G8qX91siHoDoaBLHjYOsWWHxYnthJ5enZLyISNiJcToAEREREQltrVvD4MEwbx78+SeUKnXxxx4/bi3z/vtv+3bv/oEDyT/3li2WZ79oLvuqq2DTJnvQrbem5MvyG++NETdRf/1pbygZLyIiIg7LmxeeeQZef92q4+vUsZHVIuKgK66wufEPPQSvvQa1a9u/1Fi3zlrTexLx33zjv0S8xxVXwKhRVhnfuzfccQfccIN/zxnKTp/2viD2QZv6woV9EJOIiKSZkvEiIiIikibFi0PdujB7NgwcCI88cn6C3fPvn3+Sd8yMGe3GQZEitv3vvyJF4O67rXJr9epL5LJLlrRVAkFUGf9vMj7XSdgUb1+sShZEREQkCHTpYnmzJUssT3f77U5HJCI8+KDNjR8zxpLav/+e8vnunor4PXugQgX7Ac+d2y/hnqdxY5g716r8GzeG336DLFkCc+5Q45lnFhdn8+BSSZXxIiLBRcl4EREREUmzdu0sGf/++/bvUjJnPj/J/t+3s2e/fCVWuXKWjF+1yu5PXdBVV9k2iJLx27bZtmim/1c8lCkDUZoeJSIiIs7Lnx9atYJhw6yItXZtVceLBIU33oBFi2wlcvPm9uIrua8h1q61ingnEvEeI0da/Js2Qfv2l3/RGKnOblGfhl++SsaLiAQXJeNFREREJM3uuMMq1RcvvnxFe9asvjnnNdfYdvXqSzwoCJPx/94Y4f87alEvIiIiQaRrVxg9Gn78ERYssByeiDgsY0b46COoWhW++MJWzHTsePnPW7MGatWyRPy118LXXwc+EQ+22nrSJKvOHzfOXjw+9FDg4wh2nsr4NLSoB7WpFxEJNkrGi4iIiEiaRUVZ58FAKlfOtqtWXeJBZyfj3e6gKO3yVMYXOal58SIiIhJ8ChaEJ5+0QtY+fZSMFwka5crB669Dmzbwwgtwyy1w3XUXf/x/E/HffAO5cgUu3v+6+Wbo1g3697cWHNWrK1v8X2dXxqdSUpI3Ga/KeBGR4KB+mCIiIiISkjyV8Rs2wOnTF3lQ8eKWgD92DPbuDVhsl+KpjC968DfbUTJeREREgswLL0BsrFXG//CD09GIyL9at4b69SE+Hh55BI4evfDj1qzxtqYPhkS8x8svW3X/P/9A06aWORYvHyTj9+61bw+XK80F9iIi4iNKxouIiIhISCpUCLJlg8REWL/+Ig9Klw6KFrX9IGlV/29l/M4ltqNkvIiIiASZIkWgZUvb79PH2VhE5CwuF4wdaz+kf/0Fbdue/5jVqy0Rv3cvVKwYPIl4sFU+kydDpkzw3XcwdKjTEQUXHyTjPVXx+fPbf7eIiDhPyXgRERERCUkuV+jNjT9xAg4etP2iJ9ZCTIw3PhEREZEg8uKL9lTlm29g0SKnoxGRf+XMCVOm2KywSZPsn8fq1daafu9eqFTJZsQHSyLeo2RJm3kP0L07LF/ubDzBxAfJeE8nNrWoFxEJHkrGi4iIiEjI8syND5VkvOfGSJaMCWTjCJQooXIFERERCUrFikHz5rbft6+joYjIf910k7V8B5shv2HDuRXxwZqI92jRAho0sH7qjRvbqmVRMl5EJEwpGS8iIiIiIctTGb9q1SUeFETJeE+L+qJZD9uOWtSLiIhIEHvpJYiOhq++gp9/djoaETlH9+5w661w7Bg0bGiJ+H37vIn4nDmdjvDiXC4YM8aSzuvWwfPPOx1RcPBhm/rChX0Qj4iI+ISS8SIiIiISslLUpn7DBr/Hczn/VinE7rYdJeNFREQkiBUvDk2b2r5mx4sEmeho+OADS7r/8Ycl4itXDv5EvEeuXDBhgu2//TZ8/rmz8TjtxAk4dMj2VRkvIhJWlIwXERERkZDlaVO/ceMlOhueXRnvdgckrovxVMYXSdhkO0rGi4iISJB76SUbTT13Lvz6q9PRiMg5CheG8eMhLg6qVIH580MjEe9x++3QubPtt2wJu3c7G4+Tdu2ybcaMkDVrqg+jyngRkeCjZLyIiIiIhKy8ea2gwu227oYXdOWVtj18GA4cCFhsF+KpUih65P+l/ErGi4iISJC76iob6QyaHS8SlO67D3butFkSoZSI9+jfH6691ir7n3jC8QXUjjm7Rb3LlerDqDJeRCT4KBkvIiIiIiHL5fJWx190bnzGjN6yAIfnxv97Y+T4WtspU8a5YERERESSqXt3q46fNQtWrHA6GhE5T+7c9kMaitKlg8mTIX16+PJLGDHC6Yic4YN58YmJti4DlIwXEQkmIfoXWkRERETEpGhuvMPJeE+b+qJss7sjmTM7Go+IiIhIcpQuDY88YvuqjhcRn7vmGhgyxPa7dLnMi7sw5YNk/N69kJBg6zIKFPBRXCIikmZKxouIiIhISPNUxgd7Mt7tPqsynu1qUS8iIiIhpXt360o0fTqsXOl0NCISdtq0gXvugdOn4bHH4NQppyMKLB8k4z2vNwsUgJgYH8QkIiI+oWS8iIiIiIQ0T2X8RdvUQ1Ak4w8ehBMnbL8wO5SMFxERkZBy9dXw0EO236+fs7GISBhyueD99yFPHlvx89JLTkcUWD5MxqtFvYhIcFEyXkRERERCmicZv3UrHD16kQcFQTLec2Mkb9w/pOe0kvEiIiIScnr2tO2nn0ZmF2kR8bN8+WDcONt/4w2YP9/ZeALJB8n4HTtsW7iwD+IRERGfUTJeREREREJarlyQP7/tr1lzkQcFUTK+CP+/Q6JkvIiIiISYcuWgYUMbv6PqeBHxi7p1oW1b22/WDPbvdzaeQFFlvIhI2FIyXkRERERCnqc6/qIVWiVK2PbAAfjnn4DE9F/bttm26JkNtqNkvIiIiISgHj1sO3UqrFvnbCwiEqYGD7bXS7t2wVNP2QqgcKdkvIhI2FIyXkRERERCXrlytr3o3PjMmb3l8xs3BiSm//JWxm+HnDkhd25H4hARERFJi4oVoV49y4317+90NCISljJkgClTIDYWZsyA995zOiL/OnoUjh2z/QIFUn0YtakXEQlOSsaLiIiISMi7bGU8ON6q3lMZX4TtVuXhcjkSh4iIiEha9epl2ylT4M8/nY1FRMJUxYowYIDtt28f3r9sPFXxWbPaQvJUUmW8iEhwUjJeREREREJeipLxGzb4PZ4L8dwYKco2tagXERGRkFa5Mtx7LyQlwauvOh2NiIStjh2hdm04cQJatAjfdvU+aFGfmOg9jJLxIiLBRcl4EREREQl5nmT8zp1w6NBFHhRslfEiIiIiIaxnT9t+8IFjU4BEJNxFRcG4cZApEyxaBJMmOR2Rf/ggGb97tyXko6O9E9pERCQ4KBkvIiIiIiEvWzbvXLyLVsc7mIxPTLSFAqDKeBEREQkP1arBXXfZ8xxPJ2kREZ8rUsQ7G6NLl0usvg5hPkjGezqxFSxoCXkREQkeSsaLiIiISFgoV862q1Zd5AElS9rWgWS8p0ohhnjys1vJeBEREQkLnvzYhAmwZYujoYhIOOvQAcqUgb174eWXnY7G93yQjN+xw7aeReoiIhI8lIwXERERkbBw2bnxJUrYdu9eOHIkIDF5eFrUF2In0RnTQ9GiAT2/iIiIiD9Urw533AEJCaqOFxE/iouDESNsf8QI+P13Z+PxNR9WxmtevIhI8FEyXkRERETCgqcy/qLJ+GzZIE8e2w/wYNN/b4ywHUqXttmHIiIiImHAUx0/bpx3AaKIiM/Vrg2NGkFSErRtC2630xH5jpLxIiJhTXcBRURERCQseCrjL9qmHhybG++5MV2E7WpRLyIiImHlppvgttsgPh4GDnQ6GhEJa0OHQqZMsGgRTJrkdDS+ozb1IiJhTcl4EREREQkLnhz33r2wb99FHuRQMt5TpVCUbUrGi4iISNjxjHB+91346itnYxGRMFa4sLcdR5cucOiQo+H4hNutyngRkTCnZLyIiIiIhIXMmaF4cdu/aKt6h5PxqowXERGRcHTrrfDQQ1Ydf//9MHu20xGJSNjq0AHKlLFV2J6VQKHs0CE4dcr2CxRI9WGUjBcRCV5KxouIiIhI2PC0qg+2ZPy2bTbPUJXxIiIiEq4++AAaNoQzZ6B+fZg2zemIRCQsxcXBiBG2P2IE/P67s/GklacqPmdOSJ8+VYdISIBdu2xfbepFRIKPkvEiIiIiEjbKlbPtRefGO1UZvzUJgCJRf3tjEBEREQkjcXHw0UfwyCOWGGrUyN4WEfG52rXtl0xSErRta63eQ5UPWtTv2mX/FTExkC+fj+ISERGfUTJeRERERMJGsivj//4bjh8PSEynTsHe/dEAFCkeY3eqRURERMJQTIxVyDdtComJ0LgxTJzodFQiEpaGDoVMmWDRIpg0yeloUs+H8+ILFYLoaB/EJCIiPqVkvIiIiIiEDU9l/OrVFymOyJkTcuSw/Y0bAxLTjh22zchxcl6T+hmAIiIiIqEgOhrGjYMnn7RKzebNYexYp6MSkbBTuDD06mX7XbrY7PVQk5BgK5gAihZN9WE8rznVol5EJDgpGS8iIiIiYaNMGYiKgoMHYffuizwowK3qt22zbRG247pa8+JFREQk/EVFwTvveLtHP/UUjBzpdFQiEnY6dLAXgXv3wssvOx1Nyr30Enz9NWTMCM89l+rDeCrjixTxUVwiIuJTSsaLiIiISNhInx5KlLD9y7aqD1Ay3nNjpCjboKyS8SIiIhIZoqLgrbegUyd7u107eOMNZ2MSkTATFwcjRtj+iBHw++/OxpMSH34Igwfb/rhxUL58qg+lZLyISHBTMl5EREREwoqnVf2qVRd5QMmStg1wMr4I25WMFxERkYjicsGQIdCtm73dqRO89pqzMaXG+vVQpw7ceSf89pvT0YjIOWrXhkaNbC6Gpx1HsFuxAlq2tP1u3Sz+NFCbehGR4KZkvIiIiIiElWuusW2wVMZv23Aa+H8yvkyZgJxTREREJFi4XNC/P7zyir3drRv07h0a+bKkJHjzTahYEebNg/nz4brroH370BxPLRK2hg6FTJlg0SKYNMnpaC5t3z544AE4eRLuvhv69k3zIVUZLyIS3JSMFxEREZGwctnK+EC3qf/zBABFcxyDLFkCck4RERGRYOJy2TjnAQPs7VdegZ49o4I6Ib9xI9SsCR07wqlTcMcd8NBDlqAfPhxKl4aJE0NjUYFI2CtcGHr1sv0uXYJ3tUx8vFXBb9tmHdumTIHo6DQfVpXxIiLBTcl4EREREQkrnsr4NWsucnPUk4zfvt2qEfxs2zbbFike4/dziYiIiASzF1+E11+3/UGDohk37pqgS2YnJcGoUXDttbBwoRXbjh4NX30FH39s1fGlS8PevdCsGdxyC6xc6XTUIkKHDtaJbO9eb2I+2Dz/PCxYAJkzw4wZkD17mg8ZHw+7dtm+KuNFRIKTkvEiIiIiElZKlYKYGDhyxFshcI7cuSFrVtvfvNnv8WzfnwGAoteoKl5ERESkY0cYMcL2Z826io4do0hKcjYmj61bbS5827Zw/LhVxv/xB7RqZdX9ALffbsn3116DjBnhxx+hcmXLAx4+7GT0IhEuLs77y2XkSPj9d2fj+a/x462tBlgr/auv9slh//7bFqHHxkLevD45pIiI+JiS8SIiIiISVuLiLCEPF2lV73IFrFX94cNw9Ex6AIpUyefXc4mIiIiEirZt4e23E3C53IwaFU3r1jiakHe7YexYKF8evvkGMmSwnNk330Dx4uc/Pi4OXngB1q2DBx+ExEQYNswq5j/4QK3rRRxTu7a1gU9Ksl80wfLDuHQptG5t+y+/bDPjfcSzAL1QIYhStkdEJCjp17OIiIiIhB1Pq/rVqy/ygAAl4z0t6nOxn4zXlvTruURERERCScuWbp57bgVRUW7efRdatLCkdqDt3Al168JTT8HRo1CjhhXUPvvs5RNbRYrAJ59YC/tSpWDPHnj8cbj1VquoFxEHDB1q8yUWLbIKdKft3g0NGsDp01Cvns9b6G/fblu1qBcRCV5KxouIiIhI2ClXzrYXrIyHgCXjt/91GoAibLf5hSIiIiLyr9tu286ECYlER8OECZbITkgIzLndbsvTlSsHX3wB6dLBkCHwww9QMoVrKO+801rXDxhgresXLoRKlaBTJxudJCIBVLiwN+HdpQscOuRcLGfOWPuMnTuhbFmYONHn5etKxouIBD8l40VEREQk7ARNZfyyfQAUid2tAX4iIiIiF/Dww26mToWYGPjwQ3jkEctf+dPu3VC/PjRtanm6qlVhxQro3Bmio1N3zHTp4MUXYe1aaNjQqvzfeMNa10+ZEjzdskUiQocOthh6716fV6KnyHPPWYV+tmwwYwZkzerzU3ja1Bcu7PNDi4iIjygZLyIiIiJhx1MZv2bNReaPepLxGzb4NY7tqw8DUDTXCZtVLyIiIiLnadgQpk2zWeyffWaFpKdP++dcU6fac8WZMyE2Fvr3h8WLrWjVF4oWhU8/hS+/tAr73buhcWO47bZLLBQVEd+Ki4MRI2x/5EibPRFo77xj/1wuW5FTqpRfTqPKeBGR4KdkvIiIiIiEnRIl7P7LiROwZcsFHuBJxm/b5r87vcC2jdZntUhhlUKJiIiIXMp998GsWZA+PXz+uY1WPnnSd8fftw8aNbLK+wMHrI38smXw0ktWle9rderY3Pj+/SFDBvj+e7j2Wnj+eZtNLyJ+Vru2/dAnJUHbtoFtT7FoETz7rO337w/33OO3UykZLyIS/JSMFxEREZGwExPjrW66YAVS/vyQKZPdmLlgtt43tu+2O7tFS2fw2zlEREREwkWdOjBnjs1d/+oruPdeOH487cedPt2q4T/5xJ4nvvwy/PwzlC+f9mNfSrp0luxfu9ba4icmwtCh1j37o4/Uul7E74YOtdd9ixbBpEmBOefOndbuIz7e2ny8+KJfT6c29SIiwU/JeBEREREJS5658atWXeCDLldA5sZvP2wzAYtcm9Nv5xAREREJJ7VqWYv3zJnh22/h7rtTX0l+8CA0aQINGtjo6HLlLAn/yivWoj5QihWzNvxz59pT0L//hkcftcLdNWsCF4dIxClc2DszvksXOHTIv+c7dcp+4ezZY6t9xo3z67iyM2fsVKDKeBGRYKZkvIiIiIiEJU8y/qKzOf2cjE+KT2T7mXwAFKmuMgURERGR5Lr5Zpg/H7Jlg4UL4c47U55DmzPHku+TJ0NUFHTrBr/+CpUr+yXkZLn7bmtd36+fta7/7jtrXd+li1rXi/hNhw7WjmLvXm9i3h/cbnjmGVi6FHLmhBkzbFWRH+3caaeNi4M8efx6KhERSQMl40VEREQkLJUrZ9sLVsaD35Pxe3/dRjxxRJFIwaqF/HIOERERkXB1ww3wzTeQIwcsWQK3326V7pdz+DC0aGEt7nftgtKlYfFiePVVaxvvtPTpoXt3q4h/4AFISIAhQ2zE0tSpal0v4nNxcTBihO2PHAm//+6f84wYAePH2+qfqVPhyiv9c56znN2i3o8F+CIikkZKxouIiIhIWPJUxq9bZ/M5z+PnZPy2xXZnpEDsfmLT6Wm3iIiISEpdd51Vj+fODcuWWQv7ffsu/vh582xBpqczdKdOsGIFXH994GJOriuusFn2c+ZAiRJW4frII7boYO1ap6MTCTO1a0OjRpCUBG3b2taXFiyAjh1tf/Bg+0EOgO3bbasW9SIiwU13BUVEREQkLBUvbu0/T5+GjRsv8AA/J+O3/3YAgKLZDvvl+CIiIiKR4NprLc+VL58VtN52G+zefe5jjh6F1q2hTh2rFC1RAn74AYYOteeDweyee6yTU58+VjX/7bdQoQK88AIcO+Z0dCJhZOhQyJQJFi2CSZN8d9ytW+Ghh2wFeOPG3qR8AJxdGS8iIsFLyXgRERERCUtRUXD11bZ/wVb1nmT8li0QH+/z829ffwKAIvl9f2wRERGRSHLNNfD991CwIKxeDTVrWiU5WKK+QgV45x17u107S9rfdJNT0aZc+vTQs6e1rr//fmtdP2iQteo/dcrp6ETCROHC8PLLtt+1Kxw6lPZjnjgB9evD/v1QuTK8+25A+8WrMl5EJDQoGS8iIiIiYcszN3716gt8sGBBu/OZkADbtvn83Nu2202YIsVjfX5sERERkUhTurRVuxctCuvXw623Qps2Vim/ZQsUK2Yz5t96y4pfQ1Hx4jBzJsyeDXnz2nPYN95wOiqRMNK+PZQpA3v3Qq9eaTuW2w1PPWWzMPLksbkTAW7FoWS8iEho8FsyfsKECZQrV44MGTJQpUoVfvrpJ58cd82aNWTJkoUFCxZc8OPTp0/H5XJd8N/FPkdEREREwpNnbvwFK+OjoqyHKfi+Vb3bzfb9diOm6DWZfXtsERERkQjlaT9fvLiNIXr7bXv/00/DH3/YTPlwULcuvP667ffvD3//7Ww8ImEjLg5GjLD9kSOtjUZqvf46TJkC0dHwySe2UijA1KZeRCQ0xPjjoEOGDKFLly4UK1aMZ555hh9//JHbb7+d3377jZIlS6b6uIcPH6Z+/focu8TApGXLlhEbG0vXrl3P+1ixYsVSfW4RERERCT2eZPwFK+PBWtWvXm3J+Dp1fHfiXbvYllAAgCKV8vjuuCIiIiIRrlgxS8jXrQtHjsDo0b59GhcsHnvMcoU//QQvvggTJzodkUiYqF0bGjWCjz+Gtm3tF0pUCmsW58+3VvcAb75prTocoMp4EZHQ4PNk/JYtW+jevTslSpTgl19+IUeOHMTHx1O1alXat2/P3LlzU3XcnTt3UrduXf78889LPm7ZsmWUKlWKfv36peo8IiIiIhI+PG3q16+HM2esEOIcnrnxGzb49sRr17KdsgAULaE29SIiIiK+VLiwdYZ2uQI6njmgXC4YPhyqVoVJk6wl/w03OB2VSJgYOhTmzIFFi+wHrFmz5H/uxo3w8MOQlAQtWlhC3wGnT1u3fVAyXkQk2Pm8Tf3EiRM5c+YMvXr1IkeOHADExsbSuXNnvvrqKw4cOJDiY546dYrrr7+eAwcOXLDi/WzLly+nYsWKqQldRERERMJMkSKQJYuNhb9gvt2TjPdxm/ozf6xnN/n/jUFEREREfCsqKnwT8R5VqsATT9j+c89Z7k9EfKBwYXj5Zdvv2hUOHUre5x07Bg88AP/8A9dfb+0rHPpFtHOnbdOnh1y5HAlBRESSyefJ+MWLF+Nyubj33nvPeX+tWrVISkpi4cKFKT7mqVOnKFu2LD///DNly5a96ON27NjB3r17qVq1aorPISIiIiLhx+W6TKt6zwglHyfjdy7bjZso0kXHk0dd6kVEREQklV591RaX/vKLFfCKiI+0bw9lylh5ea9el3+82w3Nm8OqVZA/P3z2mWXCHeJpUV+4cPgvTBIRCXU+T8bv2bOHQoUKkTNnznPeX6hQIdKlS8emTZtSfMxs2bIxb948ChYseMnHLVu2DIAvvviC4sWLkz59ekqXLk3//v05c+ZMis8rIiIiIqHPk4xfteoCH/RUxm/aBImJPjvn9tVHACiS+6RujIiIiIhIquXPDz172v6LL8LRo87GIxI24uJgxAjbHzkSfv/90o8fMMAS8LGxti1UyP8xXoLmxYuIhI5kz4yfNm0ay5cvv+RjKleuzJEjR8hzkfKfbNmy8ffff6csQsCVzDuYv/76KwBLlizhgQceIEeOHHz99df06NGDX3/9lenTp1/y80+fPs3p06f/ffvIEbuJGh8fT3x8fIrjTivPOZ04t/ifrm9k0fUOX7q2kUXXOzSVKRMFRPPHH0nEx/8n4Z4vHzFxcbjOnCF+0ya44op/P5SW6711UwIAhQu59f0SJPTzG1l0vcOXrm1k0fUOb7q+yffMMzBmTAx//eWiT59EXn019PrV63pHlpC53rfcQvSDDxL16acktWlD4rff2gyM/3DNnUt0jx64gIThw3FXrQoOf21bt9rr3IIFL/A6189C5vpKmulahzdd37RJyf9bspPxs2bNYsKECZd8TLNmzYiJiSFjxowX/HhcXBwnTpxIdnApFRcXR506dZgwYQL58uUDIDExkQYNGjBjxgwWLlzIzTfffNHPHzBgAL179z7v/fPmzbvo1xQI8+fPd+zc4n+6vpFF1zt86dpGFl3v0HL8eB6gBkuXnmDu3G/O+3itvHnJsmMHv3z4Ifuuvfa8j6f0esccP86Ow1kAiM58gLlzF6QmbPET/fxGFl3v8KVrG1l0vcObrm/yPPxwPvr3v4E334QSJb6nQIHjToeUKrrekSUUrnf6u+6i9uzZxCxezG9du7K9Vq1zPp55505u6dIFl9vN5rvuYmWBAjB3rkPRei1aVAEozunTfzF37lpHYgiF6yu+oWsd3nR9Uycl+e5kJ+PHjx/P+PHjL/u4ypUrX7QlfHx8vF/bxff09Gw6S3R0NP369WPWrFnMmDHjksn4bt260alTp3/fPnLkCEWKFOHOO+8ka9asfon5UuLj45k/fz533HEHsbGxAT+/+Jeub2TR9Q5furaRRdc7NFWsCK+8Art3Z6JWrXvOG+sXXaEC7NjB9blykXTPPf++P7XX2/Xzz8zmMADVbizGPfeob2Aw0M9vZNH1Dl+6tpFF1zu86fqmzN13wy+/JDFvXjRz5tRi2rTAVsKmla53ZAm16+3atw+6daPSRx9RvkcPyJ7dPnDkCDE33ojrxAmSbryRwp9+SuG4OEdj9Xj33WgAatYswT33FA/ouUPt+krq6VqHN13ftPF0V0+OZCfjk6tgwYIsXbr0vPcnJiZy8OBBsnv+kAVQqVKlANi8efMlH5cuXTrSpUt33vtjY2Md/UZ0+vziX7q+kUXXO3zp2kYWXe/QUrQo5MgB//zjYtOmWM4rfi9VCubOJXrzZqIvcF1TfL03bGA7loAvXjya2NjoNEQvvqaf38ii6x2+dG0ji653eNP1Tb4334QKFWD27Ci++y6KO+90OqKU0/WOLCFzvTt1ggkTcK1bR2zfvjB8OCQlwRNPwPr1UKgQUZ99RlSmTE5H+i/PNOBixZx7zRky11fSTNc6vOn6pk5K/s/OH4CSRtdeey379u1j+/bt57x/xYoVxMfH/9s+3h+OHDnCgQMHznv/wYMHATh16pTfzi0iIiIiwcnlgmuusf1Vqy7wgKuusu1ff/nmhGvX/puML6KieBERERHxkbJloV072+/QwfGR1SLhIy4ORoyw/ZEj4fffoXdv+PxzSJcOpk8HP+Y1UsOTftFrThGR4OfzZHzdunUBeO+99855/4cffgjALbfc4utTAnDo0CFy587NoEGDzvvY3P/PcLn66qv9cm4RERERCW7lytl29eoLfNAPyfhtFAV0Y0REREREfOvllyF3bli7Ft5+2+loRMJI7drQqJFVxNevD3362PvHjIGqVZ2N7T9OnYL9+22/cGFnYxERkcvzeTK+Ro0aVKlShYEDBzJr1iwAZsyYwahRoyhVqhTVqlXz9SkByJ49O1WrVuXtt99m/fr1/75/7dq19OjRA5fLRePGjf1ybhEREREJbsmqjN+40W68pNHR1ds4RA5AyXgRERER8a3s2aF/f9t/+WXYt8/RcETCy9ChkCkTeMbdtm8PTZs6G9MF7Nhh2wwZIGdOZ2MREZHL83kyHmDy5MnkypWLevXqkSlTJurXr09UVBTjxo3D5XL9+7hp06bRo0ePy85yT66BAwdy+vRpKlWqRK1atahZsyYVKlRg9+7d9O7dm0qVKvnkPCIiIiISWjzJ+AtWxhcrBjExVl7gGbyXWqdOsX1LIgDZsiaRNWvaDiciIiIi8l8tW0LFinDoEPTq5XQ0ImGkcGFvRfxtt8Hgwc7GcxFnt6g/K90iIiJByi/J+FKlSrFy5Uo6d+5M5cqVadKkCb/99hs1atQ453GzZs2if//+bN261Sfnvemmm1i4cCHVq1dn6dKlrFy5ktq1a/Pll1/Ss2dPn5xDREREREKPp039pk1w/Ph/PhgTA1dcYfsbNqTtRH/+yXZ3IQCKFtNdERERERHxvehoGD7c9seMsfHWIuIjHTvC4sXwxRcQG+t0NBfkqYxXi3oRkdAQ468D58yZkyFDhlzyMePHj2f8+PEpOm7z5s1p3rz5RT9erVo1vvnmmxQdU0RERETCW5489m/fPpuvWaXKfx5w1VU2M/6vv6wCIrXOmRevZLyIiIiI+MfNN8PDD8PUqdZJ+7vvVCEr4hMuF1Sv7nQUl3R2ZbyIiAQ/v1TGi4iIiIgEG091/AVb1Zcsadu//krbSdauZTt2R0Q3RkRERETEnwYNspnR338Pn37qdDQiEihKxouIhBYl40VEREQkInjmxq9adYEPXnWVbdOajF+37t9kfNGiaTuUiIiIiMilFC0KL7xg+88/DydPOhuPiASG2tSLiIQWJeNFREREJCJcsjLeV8n4c9rUp+1QIiIiIiKX06WLPe/ctg0GD3Y6GhEJBFXGi4iEFiXjRURERCQiJLsy3u1O3QkSE2H9elXGi4iIiEjAZMzoTcK/9po3SSci4UvJeBGR0KJkvIiIiIhEBE8yfvt2OHLkPx+84gqIioITJ2D37tSdYMsW3KdPa2a8iIiIiARUo0Zw883Wpr5rV6ejERF/OnECDh60fbWpFxEJDUrGi4iIiEhEyJEDCha0/fNa1cfFQbFitp/aVvVr17Kf3JwiAy4XFCqU6lBFRERERJLN5YJhw/7H3n1HR1F2cRz/bgophISEXgTpVXqVXkVAqYIgKooKUkRFhJcmRUAQxYKIlaIICihFEAEBQbr0XgQEgnRI7zvvH8MuWVJIJST5fc7Zk83M7MzdfXbDMnfufcyfCxfC5s0ZHZGIpBfbfPE5c0Lu3BkaioiIJJGS8SIiIiKSbdiq49Nl3vijR+1V8QUKgJtbynYjIiIiIpJc1avDyy+b9wcPNmdQEpGsJ3aLeoslY2MREZGkUTJeRERERLKNypXNn+mVjD+HOVG8WtSLiIiIyP327rvg4wN798Ls2RkdjYikB1tlvFrUi4hkHkrGi4iIiEi2YauMP3QonpVpWBlfrFjKdiEiIiIiklL58sHYseb9ESPg1q2MjEZE0kPsyngREckclIwXERERkWwj3SrjDUOV8SIiIiKS4QYMgPLl4epVmDAho6MRkbSmyngRkcxHyXgRERERyTYqVjR//vcf3Lhx10pbMv7kSTO5nhyXLkFAAOdvJ+NVGS8iIiIiGcHVFT76yLz/ySdw7FiGhiMiaUyV8SIimY+S8SIiIiKSbeTKdSdRHqc6vmRJsFggKMgsJUqOo0cBOO9uJvR1YkREREREMspjj0H79hAdDW++mdHRxGW1wrJl5tz2IpI8SsaLiGQ+SsaLiIiISLaSYKt6d/c7ZzSS26r+djJebepFRERE5EHw4Ydmlfxvv8HKlRkdzR2nT0OLFtCxI9StC/PmZXREIpmL2tSLiGQ+SsaLiIiISLZSqZL589CheFamdN74Y8eIxpmLEXkAtakXERERkYxVpgy8/rp5/403IDIyQ8PBaoWVK0tQo4YLGzeCkxNERcHzz8O4ccmfJUokOwoJgZs3zfu6AFxEJPNQMl5EREREspUEK+Mh5cn4o0e5SGGshhOurlCgQKpCFBERERFJtVGjzO+lJ0/Cp59mXBz//AOtWjnz1VdVCA210LQpHD8Ow4eb68eOhd69M/6CAZEHna1Ffa5c4OOTsbGIiEjSKRkvIiIiItlKulTGHz3KeczShKJFzUofEREREZGM5O0Nkyeb98ePh8uX7+/xrVb45BOoUgU2b3bC3T2aTz6J4Y8/zK/dkyfDF1+As7PZrr5NG7h16/7GKJKZqEW9iEjmpNOEIiIiIpKtVKgAFgtcuwZXrty1MiXJ+IAAuHhR88WLiIiIyAPn+eehVi0IDISRI+/fcU+ehKZNYfBgCA2Fpk2tfPzxBvr1szpcuPrKK/Drr+DlBRs2QIMGcPbs/YtTJDOxVcbr/5wiIpmLkvEiIiIikq14ekLJkub9ONXxKUnGHzsGwPlcZsm9ToyIiIiIyIPCycmsTgf49lvYvTt9jxcTAx99BFWrwubNZpL9889h9eoYChQIjfcxbdrAX39BkSJw5AjUqwd//52+cYpkRkrGi4hkTkrGi4iIiEi2Y2tVH2feeFuW/uZNuHEjaTs7ehSA8z7mZPTFiqVBgCIiIiIiaaR+fXjmGTAMeO0182d6OHECmjSBN96AsDBo0QIOHoR+/e49jVPVqrB9u9nS/vJlcz8rVqRPnCKZldrUi4hkTkrGi4iIiEi2U9nMm8dNxufMCYULA2D555+k7ex2Mv6cq5nIV5WCiIiIiDxopkwxO0Rt3QoLFqTtvmNi4IMPzIT6li1mNfwXX8DatfDww0nfT9GiZjX9Y4+Zre07doQZM9I2VpHMTJXxIiKZk5LxIiIiIpLt2Crj47Sph+S3qrdVxkcVAlQZLyIiIiIPniJFYMQI8/7bb0NISNrs99gxaNgQ3noLwsOhVSvzO/Yrr4DFkvz9eXubFfEvvQRWKwwaBEOGmPdFsjsl40VEMicl40VEREQk24ldGR+nTeftZHyyK+MDfQCdGBERERGRB9OQIWalur8/vPde6vYVEwPvvw/Vqpnt5XPlgq++gt9/h+LFU7dvV1f48kuYPNn8/cMP4amnzGp5kexMbepFRDInJeNFREREJNspVw6cneHWLbh48a6VtmR8Uirjw8Ph9GlC8eB6YA5AlfEiIiIi8mBydzfbyYOZSD97NmX7OXoUGjQwK+wjIsy28ocPm9XsKamGj4/FAsOHww8/QI4c8PPP0Lw5XLmSNvsXyWyCgiAgwLyvC8BFRDIXJeNFREREJNtxc7vTjT7OvPG2FUmpjD95EqxWLnhVAMz5MX180i5OEREREZG01KmTmdSOiDBbyydHdLQ593z16rBjh9lS/ptv4Lff0i852KMHrFsHvr7mMevVg+PH0+dYIg8yW1W8t7fZiUJERDIPJeNFREREJFuytaqPM298mTJAEtvU21rUP9QAME9CplU1kIiIiIhIWrNY4KOPwMkJliyBDRuS9rjDh+HRR81q9YgIePxxc9mLL6b/999GjWDbNihZEs6cgfr1YdOm9D2myING88WLiGReSsaLiIiISLZUqZL5M05lfKlSAFiuXcMlODjxnRw7BsD5PNUAtagXERERkQffI4/Aq6+a9wcPNiveExIdbc7dXqMG7NpldoGaPRtWrry/81aXK2cm5OvWhZs3oVUrs4W9SHahZLyISOalZLyIiIiIZEu2yvg4yfhcuaBAAQByXrqU+E5slfEe5QCdGBERERGRzGHcOLP1+8GD8NVX8W9z8KDZFn7ECIiMhHbtzO/OvXtnTDeo/PnNSv7Onc14nnkGJk0Cw7j/sYjcb7Y29ffzIhgREUkbSsaLiIiISLYUuzI+zgm82/PGJzUZfx4zC6/KeBERERHJDPLkgQkTzPujRsGNG3fWRUXBu+9CzZqwezfkzg1z58KKFVCkSIaEa+fhAYsWwZAh5u8jR8LLL5sxi2RlqowXEcm8lIwXERERkWypTBlwdYXgYDh37q6Vt5PxXv/9l/AOYmLg+HEAzoXmBXRiREREREQyj759zW5RN27A2LHmsgMHzFbwo0ebCe727c2LV597LmOq4ePj5ATTpsGMGeb9b74xq/YDAzM6MpH0o2S8iEjmpWS8iIiIiGRLrq7m3JMAhw7dtdJWGZ9YMv7ffyE8HNzcOH/dA9CJERERERHJPFxc4KOPzPszZ5rzx9eqBXv3mi3sv/sOli+HwoUzNMwEDRgAy5aBpyesXQsNG95JWIpkNWpTLyKSeSkZLyIiIiLZVuxW9Q6Skoy/3aLeKFuO8+fNMiG1qRcRERGRzKRFC+jUyWz69MknZjX8k0+a34979XpwquET0r49bNoEBQvemeN+376Mjkok7akyXkQk81IyXkRERESyrcqVzZ8JVsYnNmf87WT8zVK1CAkxF6lKQUREREQymw8+MCvh/fxg/nxYuhQKFcroqJKuZk3Yvt280PbiRWjUCH77LaOjEkk7AQEQFGTe1/85RUQyHyXjRURERCTbSrAyvlQpANxv3jQnlY/P7WT8+QK1AMiXDzw80iNKEREREZH0U6IEnDpltsHu2fPBr4aPT/Hi8Ndf0Ly5+fX9iSfgiy8yOiqRtGFrUZ87N3h5ZWgoIiKSAkrGi4iIiEi2ZauMP3rUbM1p5+uLkSePef+ff+J/8O1k/DlvcydqFygiIiIimZWfX+a/sDR3brMi/vnnze/2/frBsGFgtWZ0ZCKpoxb1IiKZm5LxIiIiIpJtlSwJ7u4QFgZnzjiuM25Xx1tOnYr7QMO4UxnvWhLQiRERERERkYyWIwfMng3jxpm/T50KPXpAeHjGxiWSGkrGi4hkbkrGi4iIiEi25ewMFSqY9xNqVW+JrzL+8mW4dQucnDgfWQCAYsXSL04REREREUkaiwXGjIG5c8HVFX76CVq2hGvXMjoykZSxtanXfPEiIpmTkvEiIiIikq3Z5o0/dMhxuVG6NJBAMv52VTwlSnDuogugKgURERERkQfJc8/B6tXg4wNbtkC1arBsWUZHJZJ8qowXEcnclIwXERERkWzNloy/uzLe1qY+3jnjjx0zf1aoYD8xosp4EREREZEHS/PmsHUrlC4N/v7QsSN07QoXL2Z0ZCJJp8p4EZHMTcl4EREREcnWKlc2f8ZpU5+UyvgKFTh3zryrKgURERERkQdPxYqwfz8MG2ZOU7Vkibnsiy/Aas3o6ETuTZXxIiKZm5LxIiIiIpKt2Srjjx2D6Og7y22V8RZ/fwgNdXzQ7WR8TLmK+Pubi1QZLyIiIiLyYPL0hPfeg927oXZtCAiAfv2gSZM719mKPIgMQ8l4EZHMTsl4EREREcnWiheHnDkhMhJOnYq1ws+PyJw5zfunTzs+6PYZu0v5HiE62qywKVTo/sQrIiIiIiIpU7UqbNsGH31k/h/gr7/MZWPHQkRERkcnEldAAISEmPfVpl5EJHNSMl5EREREsjUnJ7NNJcChQ7FWWCyE2DLssbP0gYHYyuHPe5YDoHBhMyEvIiIiIiIPNmdnGDwYjhyBdu0gKgrGjYNq1WDz5oyOTsSRrSrez8/s8CAiIpmPkvEiIiIiku0lNG98vMn4Y8fMn4UKcf6mF6AW9SIiIiIimU2xYrBiBfz4IxQoYH7Nb9wY+vaFW7cyOjoRk1rUi4hkfkrGi4iIiEi2Z5s33qEyHggpWNC8EzsZb5tUskIFzp0z7+rEiIiIiIhI5mOxQLdu5lf8l14yl335JVSoAIsXm/N1i2SkCxfMn2pRLyKSeSkZLyIiIiLZni0Zn6TK+FjJeFuVgirjRUREREQyL19f+Oor2LgRypaFS5fgqaegY8c7lckiGUGV8SIimZ9LRgeQFUVFRRETE5Mm+3FxcSE8PDxN9icPFo1v9qLxzro0ttlLSsbb2dkZV1fXdI5MUsvWpv7kSYiIADc38/dEk/Hly3NuvXlXJ0ZERERERDK/Jk1g/36YNAneew+WL4f162HyZHj1VXO+eZH7Scl4EZHMT8n4NBQYGMi1a9eIiIhIk/0ZhkHBggU5f/48FoslTfYpDw6Nb/ai8c66NLbZS0rH283Njbx58+Lt7Z2O0UlqFCkC3t4QGAgnTsAjj5jL7cn4c+cgPBzc3R0r4+ead3ViREREREQka3B3h/HjoXt3ePll2LYNBg2C7783q+dt/1cQuR/Upl5EJPNTMj6NBAYG4u/vj5eXF3nz5sXV1TXVSRmr1UpwcDBeXl44OWlGgaxG45u9aLyzLo1t9pLc8TYMg6ioKAICAvD39wdQQv4BZbGY1fFbt5qt6m0n2CJ8fDC8vLAEB8OZM1CyJPzzj7lSbepFRERERLKsSpXgr79g1iwYPhx27IAaNeDtt2H0aDNpL5LeVBkvIpL5KRmfRq5du4aXlxdFixZNs8pIq9VKZGQk7u7uSvBkQRrf7EXjnXVpbLOXlIy3h4cHuXLl4sKFC1y7dk3J+AdYpUpmMv7QoVgLLRYoXRr27TNb1cfEgNUK3t5E+BXi8mVzM50YERERERHJepycoH9/6NABBg6EpUvNFvaLFsEXX0CzZhkdoWRlhqFkvIhIVqCsQRqIiooiIiICHx8ftSgWERGROCwWCz4+PkRERBAVFZXR4UgCbPPGHz7suNwoVcq8c+oUHDtm3q9QgQv+5vc+Dw/Ik+c+BSkiIiIiIvddkSLwyy/w889QqBCcPAnNm8OLL8KNGxkdnWRVN29CWJh5v0iRjI1FRERSTsn4NBATEwOAq6trBkciIiIiDyrb9wTb9wZ58FSqZP50qIznrmR8rPniz50z7z70kFlALyIiIiIiWVunTuZ/CV591fx99myoUAEWLDCrmEXSkq0qPm9e8yJwERHJnJSMT0OqihcREZGE6HvCg8+WjP/nnzvVBwBG6dLmnbuS8WoXKCIiIiKS/fj4wMyZ5nzyFSvClSvQsye0awdnz2Z0dJKVXLhg/tT/OUVEMjcl40VEREREgAIFzHbzhnGnGz0A96iML1bsvoYpIiIiIiIPgAYNYM8eGD8ecuSA334zL/CdPh2iozM6OskKbBeAFy2asXGIiEjqKBkvIiIiIoLZaj6+VvX2NvVnzzrMGa/KeBERERGR7M3NDUaPhv37oVEjCA2FN9+EevXg8OGMjk4yO/2fU0Qka1AyXiQbCQ4O5tKlS2m6z23btrFw4UJu3LiRpvuVjBEUFBRn2c2bNzMgEpH7JyIigoULF3L8+HGH5YZhcDiesyeGYbBt2zaioqLuV4hyH1WubP50GPpChcwJ+qxWCA83z7iVKGE/MaLKeBERERGR7K18edi4Eb76CnLnht27oU0bCAnJ6MgkM7O1qVdlvIhI5uaS0QGIyP1x5coVatasyUMPPcTmzZtxdnZOk/1+9tlnzJ8/nz179uDn55fkx/3333+8+OKLzJ49m4IFC6ZJLBktMjKSH374gdKlS9OwYUP78uDgYJycUnft0/79+zl69CidOnXCzc3NYZ3tAoukvo5bt27lv//+o0uXLg7Lp06dyqxZs9i9eze+vr725YMGDeLAgQN89913VK1a1b48MjKSf//9F3d3d9zd3e3zYTs7O+Pr64u/vz8rVqxINJZHH32UKlWqJCnuxAQFBREREZHk7f38/FI9JpJ1hIWF0aNHDz777DPKlStnX/7xxx8zevRodu7cSYUKFezL//vvPxo2bMiQIUOYNm1aRoQs6Si+yngsFihdGg4eNH8vWxacne1t6lWlICIiIiIiTk7w0kvQvj3Ur2821po0CSZOzOjIJLNSZbyISNagTIRIBoqMjCQ4OJiYmJhkPc5qtRIeHk5IMi6vzZ8/Px07dmTbtm3MnDkzuaEmyMXFvKYnR44cyXrcpk2bWL16NR07diQ8PBwwE1xffPEF3377Ld9//z0LFy6M9zZ//ny+/fZbDhw4kGbPIy1ERkbywgsvsHDhQoflefPm5Zlnnon3MQklkAMCAmjfvj3r168HYOHChfTo0YOwsDCCg4OpWrUqa9euBWDBggUUKVKEpUuXJinODz74gGeffTbO8kaNGuHv70/fvn3ty2JiYli3bh1OTk4OyUiA06dPU7ZsWYoVK0bBggUpWLAg+fPn59FHHwXgzJkzvPrqq3z11VcsXbrU4fbTTz/x6quvsnnz5iTFfC8vvvgi+fLlS/Lt4sWLaXJcuf9KlSqFxWJJ8S2+95ztApe7/4698sor5M+fn5EjRzosP3c7A9umTZt0epaSkWzJ+DhNEUqXvnP/9t9DVcaLiIiIiMjdChY0540HmDYNTp3K2Hgk81IyXkQka1AyXtLV+fPn6dmzJ76+vnh6elKrVi1++eWXeLddtmwZFouF/v3733O/1atXx8nJicuXL8dZ17t370QTMU2bNnXY3jAMlixZQv/+/enTpw8zZswgMDAwzn4HDx6c4D5Tav369fj4+ODi4pKsZJKzszMeHh4MGTIkWcebMGECHTt2pG7duimO+W6urq7AnaR8UnXv3p2hQ4eyY8cOXnzxRQD++ecf+vXrR58+fXj22Wfp0aNHvLdevXrRp08fe6IaYO/evQm+XnPmzHE4dnh4OCNHjuThhx/G09OTjh07JpicXbVqFXXq1CFnzpxUrFgx0UpvT09PANzd3R2We3h4xFm2b98+XnvtNQoWLMjixYvj7Ctnzpy4urrSuXNnzpw5Y08Surm58f3333P8+HF7Be++fftwcXGJ895OiK2S/W7169dn8uTJlC1b1n6ByKZNm7h8+TJTpkyJk6gsU6YMAQEBREREEBMTQ3R0NJ07d7bv28PDA4Bx48axevVqh9sPP/wQ72sVW0hICFWqVGHs2LH3fE4eHh7kzJmTq1evJnr73//+5xBbauzfv5/WrVuTO3du8uXLR5kyZViwYEG82yb1fbRx40YaNGiAp6cnrq6uPPLII6xbt+6esRw/fhx3d/c47/XYxo8fz8MPP3zPfR05coRcuXKxcePGeNdHRUUxceJESpcujYuLCzlz5uTpp5/m6tWrcbbdtGkTTzzxBL6+vnh7e9OpU6d4274nR44cOShTpgyff/55sm7PPfccEP/fKlunENtPW0X8Rx99xKOPPkqlSpWYPHkyo0ePZvfu3Rw9ehRXV1f7hSeStdiS8WfPQnBwrBWxk/HlyxMQALavCzoxIiIiIiIisXXoAK1bQ2QkvPFGRkcjmZFhqE29iEhWoTb1km78/f2pW7cuN27c4Omnn8bNzY0ff/yRLl26sG7dOpo3b+6w/Zo1axx+JuTKlSvs378fwzBYu3YtvXr1clj/5JNPUvT2N5QDBw6wYsUKGjVqROPGjQEoUaKEfVur1UrXrl355ZdfKFSoEE5OTnz77bdMnz6dLVu2OLT93r17N6VLl6Z79+4pf1HuUqJECUaNGoW7u3u8beOnTJmCr68vr7zyisPymJgYoqKiHFqG23To0IHly5cnetzEKqg7derEzz//nLQnwJ1kfEpafk+aNIm//vqLBg0aAFCrVi3Onj2Lm5sbOXLkIEeOHGzevJm2bdsya9YsnnnmGQzDIDw8nPDwcLy9ve372r17NwBvvPGGPSluE/t1MgyDbt26sWLFCurXr0/nzp1ZtGgRrVu3Zs+ePQ4J50WLFtG9e3fy5s3LSy+9xJEjR+jUqRMbNmygUaNGcZ5PQq+Bs7Mz//77L1OnTuXw4cPs2LGDK1euUL58eTp37kxoaGicx7i4uPD999/TsmVLTp48aa/cdXZ25ocffqBXr14Uu12KuWHDBho3bkzu3LmT8rLj6urqEOuOHTuoV6+ewzYT7+qhFrsC+OrVq+TNmxdnZ2eHMbCxvYZJ6fhgtVrjXW4YBn369OHgwYN07tz5nvuxJfXz5s2b6Ha290ZqW9Tv27ePBg0aEBoaSp06dfD09GTz5s307NkTV1dXunbtat82qe+j3377jfbt22OxWOxJ3s2bN/P444+zadMm6tevn2A8ffv2TbRN/8qVKxk7dqz9PZOQgIAAOnXqRLBDBtLR888/z4IFC8iTJw+PPfYYR48e5ccff+T48ePs2rXLnuxeuHAhzzzzDAULFuTZZ58lJCSEH374gbVr17JmzZoUJ7Jz5MiBr68v/fr1S9bj3N3dmTdvnv1vFkB0dDRhYWH2ZYZhEBwczK5duzh79iy7du0if/78lCxZkpiYGCIjI6lZsyYHDhzAzc2NF198EavVSnR0NF5eXsybNy9Fz0keLHnzQoECcPkyHD0a64K7uyrjbRUKvr6QM+f9jVFERERERB5sFgt8/DE88gj8+iusWgVt22Z0VJKZXL8Ot5uJKhkvIpLJKRkv6WbSpEn8999/LF26lA4dOgDw8ssvU6dOHUaPHh0nGW9ruf3PP/9w5swZh6R5bOvWrcMwDPtj7k7Gd+7c2Z68mzNnDitWrKB58+bxVtdOnz6dX375hW+//ZYXXngBgFmzZvHqq68yYcIEPvvsM8BMGO7bt4/evXvz7rvvpvAViatcuXLUrl07wcTgrFmzKFasGMOHD0/yPnPlygXA0aNHkx1PhQoV8PLyirO8R48ecVqv361s2bIJrtu/f3+884K7uLiwfv16eyLV3d2d4sWLO2xjq2B2c3Ozx2Z7jrHt3r0bLy8vPvjgg0S7FSxYsIAVK1bQpUsXFi1ahMViYfDgwVSoUIGPPvqIt99+G4DAwED69++Pr68vu3btssfVvn17+vXr51Dde/XqVWJiYuzPIzw8nEuXLmEYBoUKFQLM8fD19aVevXoMGDCAOnXqJJo8//LLL9m5cyfVqlVj+fLl7N27FzAvNqhUqRJBQUEMGDCAgQMHcv78ebp27cqxY8fsjzcMg9DQUKpVqxbvhR6x2eL+8ssvadasGQA///wzw4YNY9u2bXh7e5MjRw6mT5/OzJkz41zscLfIyEj76wDwzDPPOCRAbfHF3ia2iIgIXnjhBX788cdEjxNbQkn9e8WYUgMGDMBisbBu3TqaNWtGYGAgf//9N61bt2bChAn2ZHxS30dRUVH079+f/Pnzs3r1avsFJLNnz+bFF1/kvffeY9myZfHGMnv2bP78888EY120aBHPPfec/TVPiL+/P+3atePEiRMJbrN27VoWLFhA165dmT17Nl5eXkRFRfH444/zxx9/sGLFCjp16kRQUBD9+vWjePHi7N69G19fX/vr1qBBA55//nlOnDiRos4iqb2QInZl/N9//+1wkUOfPn14++23uXbtGgcOHKBq1aosWLCA8uXL8+677zJ58mTc3NwYN24cFStWpGjRonz33XcULlyYxx57LFVxyYOlcmUzGX/kCOTLd3thAsl4tagXEREREZH4lC8Pr79utqofPBhatIDbtRYi92T7P2f+/HrfiIhkdmpTL+lm06ZNALRq1cq+rFatWlSoUIGdO3cSFRVlX3727FlOnjzJ888/DyReHb9mzRp7u2NbAj8lIiMjef/99+natas9EQ/Qr18/ChYsyF9//WVfdvz4cUJCQqhWrVqKj3e/hIWFAVC+fPlk3yD+5KgtWbtu3TqOHj3qcLPNhf7777/HWWfrIuCWyDfGxNqUJ8eePXuoWrXqPZN7X3/9NRaLhWnTptm3LV68OD169LC3Tgeze8C1a9cYPHiwwwUCw4YN48iRI+zbt8++bNCgQRQqVMiecPzss88oVKgQnTp1sm/Ttm1b5s+fz8iRI+2tzW0uX77MjBkzHBLEgYGBXLp0iatXr7Js2TK2bt0KwM2bNwkICCAyMpKAgAB7gnb69OlUqFDBfqtYsSK1atUiKCgIgBs3bvDvv/9y+fJlIiIiMAyDq1evcvr0aftnMSAgwD7NQ/78+QF4+OGHGT58OEOHDsXHxwdwTIZ27tzZYUqAJUuW2Cu0q1atyubNm1m5ciVLly61t2lfunQpy5YtY/PmzXTp0iXOGPXs2ZMlS5Ywbdq0RMcytrCwMEJCQu45xcPo0aMBEq0iv5djx46xc+dO3n33XVq0aGFf3rx5c6pUqcKBAwfsXQGS+j7auHEj586d4/PPP3fo5NC7d29y587Nnj174o3l2rVrDB06lIcS6JG9fPlyunfvTseOHROtRA8PD6du3bpcv37dfkFKfObNm0fBggX57rvv7BfHuLq6MnDgQAB7nMuXLycgIIC3337b/rkAqFGjBo8//jinTp3i5MmTCR4nMXdfXHL16lWOHTsW7y2+Y8ROxleqVIlt27bZL3aZMGECq1evxjAMxowZQ+fOnWnYsCGRkZHMnTuX2bNnExgYyMGDB3nllVeYNm0a+fPnp1WrVrz33nspej7yYLozb3ysf1NuTw2CiwuULcu5c+avalEvIiIiIiIJGT3anEP+1Kk788iLJIVa1IuIZB2qjJd0Y0vAHjhwwKEF9t9//01MTIxDQsSWVH/xxRf55ZdfWLNmDX379o13v+vWraN27do8+uij/PLLLxw8eJBHHnkk2fE5Ozvz22+/xdvWOioqipyxes7aWqDXrl072cdJil27duHv70+zZs3sCc+U+vzzz/nggw/4559/OHr0KO7u7onO5x4ZGUlERAQ5cuTgzJkz8VY925JfpUqVijPntC2pXLJkSUrHrhqMtS52VfTGjRvZuXMn7u7u9qRu7969463IT6ro6GgOHDhwz7bVhmGwfft2HnnkkTjPo3nz5nz77bfcvHkTX19fe/L7iSeecNiufv36uLu7s3HjRvvFGVOmTGHChAl4eXlRuHBh+vbty7BhwxwuDEisKvnPP/9k0KBBxMTEMHjwYADeeust3nrrLRYvXszSpUspW7YsJ06coHfv3uzevds+97kt8R67Ur9cuXLUrFmTb775xn6xw8yZM+2JaBtbwn327NkA+Pr6sn//fj744APq1KkDmNXSq1atomfPnvFWJNs+K3///bd9ma1NvY+PDw0bNnQ43unTpx2WJfaaFCxYkLfeeuue2wJMnTo1zvNLjK1jQUqUL1+e4ODgeF+PyMhIh2RxUt9HrVq1IigoKM5c9rYW6Al9hocMGUJAQABff/21w8UfNhcuXGDixIkMGzYsTjeS2MLDw6lQoQJz585N9GKo7777juDg4DgX0dguJLHFeeTIEQBq1qwZZx9+fn6AeSFBYh01kmr69OlMnjw53nW+vr7cuHEjwcfmypWLevXqER0dDUDRokWpVasWHTt2ZNmyZTz00EP4+PgQeHti8I8++ojcuXMTExNjr6iPjIx0+PdCsobKlc2fR45YaNr09sIiReDTT8HHBzw8VBkvIiIiIiL35O0NU6fCc8/BhAnQq5eSq5I0tv9z6gJwEZHMT8l4STdt27Zl9+7ddOvWjZkzZ9K+fXuAOMkmMKvdXV1dqV27NrVr12b9+vXExMTEqYA8fPgw/v7+9O7d257gX7t2bYqT8dWrV4+z/LvvvuP69eu0jTWR0+7du7FYLIwfP56//vqL4OBgHnnkEV5//XWefvrpZB/7bjNmzGDevHkcPXo01cl4W4J1xowZDBo0KMmPK1eunEOb89ju1eb8XmInLdetWxdnPvLOnTvbk/FHjx7lf//7Hy+99JL9PXMvhw8fJjw8nD179lC+fHnOnj1LwYIFeeqppxg9erR9XvPAwEDCwsLibZlfqlQpAM6cOYOvry+XL1/GycmJSrbyyNtcXFwoXrw4p0+fti+7u7W+l5eXwzQLOXLkYPv27Wzfvp1ixYo5vB6XLl1i0qRJuLm50aNHD/vy8PBwxo4dy9SpUxk+fDi5cuVixIgRXLt2jdGjRxMREcFjjz3GsWPHqFixosPx//vvP/Lly+fwWevevTu1atXCw8ODKVOmsHXrVlasWEF4eLh9uwIFCvDcc89x5swZezL+6NGjeHt7M2jQoHjbpMfExJArVy57Z4XYTp06ZU9yAvaK/rvfZyVKlHDonvDTTz/h7OzM2bNn4+wzIUWKFEnytmkhvm4PZ8+e5ejRo9StW9f+mUnO+yi+C2E2b95McHAw7dq1i7Nu/fr1zJs3j+HDhyfYtaNv375J+vz6+PiwZs2aJLWNj+/CmVWrVgFQt25d4E5S/ubNm3G2PX78OECC1fzJZXv/3n3BS9euXdm2bVuK9lm9enWsVit169alfPnylC1blujoaMaNG8eXX34J3Ik/KChIyfgsKN7KeIDbXSAAVcaLiIiIiEiS9OoFs2bB1q0wdCgsWJDREUlmoGS8iEjWoWR8ejMMCA1N2WOtVggJAWdnSOUcucni6QkpmMf3bsOHD2fjxo1s3ryZJ554gqpVqzJhwoQ4FaJWq5U//viDKlWq4OHhQb169fjjjz/YtWuXQ0U93GlfX69ePWrWrImrqytr1qzhzTffTHW8CxcuZPXq1Xz33Xe0aNHCoSL377//xjAM9u7dS9euXTEMg8WLF9OjRw8uX75sr2ZOKVslse1nbP/99x9ff/21wzKr1UpoaCg9e/a0J9/v1q1bNxo0aICbm5vDfsuUKUPnzp2ZMmUKYCZTo6OjE63cTsm8zgl54403eOWVV8iZMyfvv/8+U6ZMcYgvNDSUZcuWOVwMAbBy5UouXbqE1WolPDwcq9XKu+++C2Cvyt65cycdOnSgXbt2bN26lWnTpvHnn3+ydetWXFxc7NWt+ewTAN9huwji4sWL1KhRg8DAQHx8fOIdEx8fHy5evHjP5xoZGUmOHDkYOnQoY8aM4fHHH493u3z58jF16lT7WN66dYsWLVpw5MgRvvnmG1544QV71Xfbtm35+OOPWbhwoX0qiOPHjxMeHo67uzvBwcEEBQXFuUCgTJkylClTBjAr4V1cXGjUqBGAvUX3hQsXGDBgAE5OTvzyyy+A2aZ+/fr1uLu7c/36dQCHBHtYWFiCich69erZHxNbhQoVHH4/fvy4Q4V0UpLHMTExfPjhh+TMmRMXF5cUzSMeExNDeHg4jRs3jvfCnOSaOnUqgENXj9S+j2yf07s7hURERNCvXz/KlCnDO++8w6VLl+J9fFIvpEnNZ/zff/9l4cKFlChRwj4tiW08Z8yYQevWre3brl27lr/++osKFSqkWTI+dueN5KyLz86dOzl27BhvvvlmnIp6V1dXhg4dSuPGjQHzeVeuXJmbN2/aq/0l67Bd4+TvbyE4OP6vyzoxIiIiIiIiSWGxwIwZULMmLFwI/fpBkyYZHZU86NSmXkQk61AyPr2FhkIK2287AbnTNJgkCg6GNKjy8/T0ZP369Xz22We8//777N+/nyeffJIOHTowf/58ewLv77//5ubNm/bEe+yK97uT8bZ29vXq1cPDw4MqVaqwadMmIiIiEp2XPCn69OlDaGgozs7O9OnTx6ENc/78+Xn55ZeZOXOmveJz3Lhx1KlThzFjxtCnT59UtVm3JcziSyieOHGCl19+Od7HNW3aNMFkfP78+fH29o53TvZcuXLFaSmfmMQS9cmVJ08e8uTJA9yZLz52otKWPLs7ibZ69Wo2bNiA1WolIiICV1dXezLearXSpEkTvvjiC8rZ5vQFBgwYwMyZM1mwYAHPPvusfeziq0C2xRB6++IZFxeXeLezbRuayEU2W7dupWXLlhQvXpxvvvmGtm3b8thjjxEcHIyXl1e84xy7kj537tzMnTsXNzc3ypQpw+rVq9mxYweLFi3C29ubAQMGULVqVRo1asSzzz7Ld999x44dO2jSpAn+/v4AyWr/bRgG5cqV46OPPuKjjz6yLy9XrhwvvfSSw7blypVzmNs+ODgYV1dXTp06ZV/m6+trH+MhQ4bY537v3bs327dvt1fGf/TRR7zxxhvxvkfvJSoqihEjRuDh4eGQjL9x4wYuLi72bgiJiYmJITIykg8//DDVyfi9e/fy9ddfU6lSJZ577jn78tS8j5YuXcrq1atp06YNzZo1c1g3ceJETp06xYYNG1L0+qWlwYMHExERweTJk+1/yzp16kTx4sVZsWIFjz/+OF27duXUqVPMmDEDMKckeVBER0ezYsUKwJzmo0ePHnzwwQf2iyti69KlC0899RSrVq3izJkzlCpVivDwcPv7XbKO3LnNEx4XLsCFC7ni3cZWGa829SIiIiIici/Vq0PfvmaF/KBBsGcPJDKr5ANv3z4oVw7iaYAqaUQXgIuIZB33sdxasiMXFxcGDx7MmTNnmDlzJr6+vixbtoyuXbvat4ld7R77593zFkdGRvLnn39SqlQp+zzv9erVIywsjL/++ivVsd66dYsNGzZQo0YNevbsybx58+zrlixZwpdffukwb3O+fPl48803CQwMZMOGDak+fkKaNGmCYRgOt+joaEJCQhJtzx8aGkrx4sXtc4unRkxMDAD//PMPx44dc7jdunULgNOnTye4zvb4hMROTtvu312p++mnn3Lt2jVu3LhBSEiIfd8AL7/8Mhs3bnRIxIOZsHR2dmbp0qUA9gtAYieTbaKiohzW5cyZM97tbNvGXmdLMj722GOAWeldqVIl+zQBVatWpVKlStStW5dKlSpRoUKFOLfYyWww59zevn07ixYt4pNPPmH9+vUEBASwfPlyli5dyvnz5xk3bhwzZswgf/78rFu3DrjTJSA5yeUaNWrEGbvEbrGrgK9fv86xY8fslfdlypSxt/FOqpRUtbu7uxMVFUVgYCA3btzg2rVrnDx5EicnJwYPHsy1a9fuebt58yYhISFxqs6TKzw8nP79+wPwzTffOFSjJ+d9FNvVq1fp168fuXLl4vPPP3dYd+zYMaZMmcJLL71Ekwy+lH7evHksW7aM9u3b0717d/tyT09P1q5dS82aNVm9ejUvvfQS7733HsHBwfj6+vLKK6+kWQyJ/X2xWq2JPnbZsmUULlyYZ555BoD333+fH374gZw5c1KgQAGHv7uVKlXCz8+PuXPnUrNmTc6cOWPvSFCgQIE0ez7y4LC1qv/337gX91itd6oUdGJERERERESS4t13wc8PDh40k/KZ1QcfmBcX1K+f8oawcm/6P6eISNaRia+/yyQ8Pc1K8xSwWq0EBgbi7e2domRViiVQxZkarq6uvPrqq7Ru3Zp69eqxevVq1q9fT/Pmze3V7s8++yzPPvus/THbt28nKCiIXLnMirQtW7YQGhrKP//8EydRu2bNGlq0aJHqGJs2bcqaNWsoXbo048aNc6hwjY+t+vjMmTOpOnZyOTs7J1hta7NlyxauXLkSb+XtwYMHee+99+y/26rNmzRpQvPmzeNsb0tUt2zZMsHj2RLR8Uko4ZjecufOTb58+ezj4+3tjZeXV7xzkV+5csX+GIDChQtz9epVQkND47zWV65coejtHlHHjh2zzwdua63/wgsv2KvBwZzTunv37nz88cdxPs8zZsxg0KBBcaqbR4wYwT///OOwLHaVupOTE/7+/nh7e9O2bVt+/PFHJkyYwKZNmyhZsmSy51D/8ccfefrpp++53ffff29PXAKcPHnS3jnh33//pXTp0vZjx8TEEBgYaH+9g4ODiYqKsv9uawMeu+19aqxdu5aYmBh69uyZJvtLqjfffJNjx44xfvx4+5zpNkl9H8VmGAa9e/fm8uXLfPfddzz88MMO6/r27UvevHl5//330+X5JNWpU6cYOHAghQoV4ttvv42zvkyZMvz9998cOXKECxcu8Mknn7By5UqGDRuWpM4FSRUREQHE32o/oc4hNi1btqRly5ZMnDiRkiVL2i/0ypEjB5cvX46zz5YtW+Lq6krlypXZsmUL1apVA7BPASFZS+XK8PvvcP583Mr4q1chMtJsN5nMP7ciIiIiIpJN5cljJuT794fRo6F7d4hnJsUH2qZNMGyYeX//fvO5zJ6dJjOeSiyGoTb1IiJZiZLx6c1iSXnLd6sVYmLMx9/PZHwa2Lt3L6+++ipt27ZlzJgx9uWlSpVi8ODBjB49mj179lCnTh22bdtGkSJF6N27t327TZs2sXnzZjZs2MCTTz4J3KmU79GjByVLlgTMJPJ7773H2rVr7XMrJ5dhGA4Jl9y5c1OvXj1WrlxJdHQ0Li4uXLhwgQIFCsRpnW5LJoaHh6fo2OnJNud3fFW/hw8f5t9//7X/bmvX7ebmFm8yvlWrVuTLl4+RI0fi6+vrsG7gwIF89tlnnDx5Mk7r+yVLlrBt2zb7fOyJsbVwT4mwsDACAgIoWLCgw/KYmBgCAgIcYq5SpQp79uyJs4+dO3cCdypcq1atCsCePXto2LChfbtr165x5swZ+/zv5cuX5+233+app56iRo0a8SYEnZ2diYyMJCAgAKvV6pCMDwsLs28T2549e3Bzc+PLL79kyJAhHDt2zP6+r1KlCn5+fvbn26tXL+bMmcMvv/zC4sWL6dSpU1JeNsC8MMPf39/eNWD+/PnUqFEj3tfn+eefj5NQjh13UFAQYHaNAPMijK+++oqvvvrK4TGxW/LHfg1Sa/78+QDxxn+3oUOHxtuGPCXH/OKLL2jWrFm8XSiS+j6KbdKkSaxatYo+ffrQq1cvh3W//vormzZtomnTpg7J+ICAAAB+/vlnTp06RZcuXVLdej8xoaGhdO3aldDQUJYvX24f8/hUrFiR/Pnzs2HDBgoXLmzvGJFWnnjiCYol0Cc89hQY8cmZMyc//PBDvBeE5M2bl82bN9t/t/1bBFC7dm3eeustWrZs6TD1hmQtiVXG21rUFyoEd301EBERERERSdArr8CXX5pt3keONO9nFv/9Z15AEBMDjRvDX3/B3LnQoAEkMMOmpNDVq3C79kAXgIuIZAFKxku6cHJyYseOHXh6ejok4+FOcsTT05MNGzYQFRXFE088YZ//G8y5kjdv3syaNWviJOM//PBDh6TrqlWr2LdvH1evXk00IXS3AwcO0LRpUz755JM4Ca/r16/j7u6Os7Mzq1atol27dqxatSpO4mzVqlWAmWx6kISHh7Nw4UJ8fX3jTVI9/fTTzJkzJ8n769WrV5zXKCm6dOlCly5d7rndpk2bGDVqlD0hnhyGYfDwww/TtGlTfvzxR4d1GzduJCwszGF82rVrx8iRI9m4cSNNmza1L1+4cCHe3t72StfHH38cJycnvv76a4ck6oIFCwBo3LixfdnkyZPvGefChQtZuHBhkp+Xt7c3YWFhTJ06laZNm9ovEli1ahUHDx5k5cqV9m1btGhBlSpVePbZZwkJCaFfv34J7tdqtRIcHExQUBBlypTh1KlTtGvXjtdffx2AYsWKUb58+TiPs7XjvvuClNhsCWFb1XNERASvv/66/fV5+eWX2blzJ/v373d4nJub271ejiTp0KFDvMnt2LZv387cuXOpUKFCqo+3bds2XnrpJR566CG++uqreDuYJOd9BGYyfcyYMVSvXt0+v3ps169fB8z39saNG+OsX7FiBStWrKB06dLploy3Wq08++yz7N+/nylTpjh8jhLy8ccfExoayscff3zPrh7JVbt2bWrXrp2m+7yXBg0acP36db799lsaNWp0X48t90/lyubP+CrjNXefiIiIiIikhLMzfPopNGoEX39tJudr1croqO4tOhqefhouXTL/r7RqFcyYAcOHw8CBZtv6zPA8MgtbVXyBAnCPOgMREckEMle5tWQalStXpmDBgmzevNkhwRoSEsKcOXOwWCwOLeqbNWvm8PgmTZrg5ORkX3/t2jX27t1LhQoV4lQ/N2vWDMMw7HNmJ1WlSpVwdXVl+PDh+Pv725dv2rSJ7du306pVKywWC48++iienp6MHDmS4FhTDixZsoQffviBAgUKJNq+PSN8/fXX3Lx5k5s3b/LUU089kJX7sfXq1YtDhw5x8uTJZD/WYrHQsmVLlixZ4lDFevHiRXsFbuwLCV544QVy5cpFnz59OHbsGDExMYwaNYrdu3fTrVs3e7K5aNGidO7cmXnz5vHll19iGAZbtmxh3Lhx5MmT555J37s99dRTHDt2DH9/f/777z/7bdKkSQk+5uTJk/Z22LaODS+//DLlypWLc/yBAwcSEhJCzZo1qRXP/36WL19Op06dyJs3L0uWLMFqtVKmTBm+//57h4sYGjVqhMViiXO7+zMan1u3bgHYp5aIjo5m+vTpuLu72y9usVgsuLu7kyNHDiZPnszMmTPj7SaQEi+++CL9+vVL9Gbr3pDatuJHjx6lXbt2gPm3IKHK6OS8j/7880969uyJn58fv/zyS5ypCwB69+7tMI+57WabimH27Nn2NvfpZcCAAfz8889069aNt99++57bX79+nU8++YRKlSrxwgsvpPr4ic0RnxT3mkfe5tq1a1SoUMF+i/33KU+ePDz66KNs37492X8LJPOwXbNz65Y71645rrNVxifQlEFERERERCRBDRvCM8+YrcgHDjSboz7oRowwW9TnygVLlpiNXN9+Gzp0MKfw6toVbtcPSBrQBeAiIlmLKuMlXTg7O/Pxxx/z9NNP06RJE7p164aXlxe//fYbZ86c4bXXXqN8+fL2ave7Kyt9fX2pWrUqe/fu5d9//2Xbtm0YhhFvQrBZs2Z89NFHrFmzhh49eiQrxi+//JJOnTrxyCOP0KVLF6Kjo/npp5/ImzcvH374IWC2rX/nnXcYNmwYpUuXpmrVqly9epW9e/fi4eHBvHnz4k2aZZQbN27w7rvvUqhQIUaPHs2AAQNo2bIlCxYs4KEH7BtcSEgIADdv3mT27NlUqFCBQ4cOJXs/Y8eOZeXKlTRv3pz69evj5ubGli1bCAsLo0+fPnTs2NG+baFChZg9eza9evWiYsWKuLm5ER4eTsmSJeO0LZ85cyaHDx+mb9++vP7664SFheHi4mKvok8ODw8PChQoEGfOeFviOj5VqlTht99+IyoqijVr1tC9e3dCQ0O5ePEiZcuW5eOPP6Zt27acP3/ePkf93r17+frrrx3mlwezW8XSpUupVasWL7zwAt26dbPPjx3bvdrUJ8aWjE/KaxMdHc3OnTvZuHEjHTt2tLfgT28HDhwAiLf6PzkGDBjAzZs3qV27NkuXLiUiIgI3Nzf7hQV9+vSxt+NPyvvIMAxefPFFIiIiaNy4cZzW/gBvvfUWuXPnTlXcqbVp0yZmzZqFk5MTRYoUYdSoUQ7rS5QoQZ8+fRyWTZw4kcDAQD744IM40zGkRFRUFKGhoRw7dixZj/vvv//sj0+KAgUK2DtCgHmRmU1MTIx9rGNvI1mLlxc8/LDB2bMWjhyxUKjQnXU6MSIiIiIiIqkxdSosWwY7dsC8eZCO19Sn2i+/gG2mvNmzoWxZ877FAnPmmBXx//wDvXrBypWZbrbVB5L+zykikrUoGS/pplu3buTOnZuJEyeyZMkSoqOjqVChArNmzaJv376cP3+e48ePU6lSJfLnzx/n8c2aNWPv3r2sWbOG7du325fdrXHjxjg7O9ur6JOjQ4cOrF27lvHjx/PTTz/h4+NDjx49GD9+PIULF7Zv9/bbb1OkSBGmTJnCn3/+SZ48eXj22Wf53//+l+J21zNmzODAgQN4enqydetWAMaPH++QyLxx4wbR0dH2FuI2tjneIyMj6d+/v71Fs2EYvPTSS1y+fJn58+fTs2dPnJycGDBgAI888gj9+/dPUmyGYSS5WtmW2EputWpUVBS//fYbAMOGDcPDw4Np06Zx8+ZNADZs2EB4eDgnTpxw+N12rMjISDw8POjXrx9lypRhx44dDBs2jI0bN2IYBrVr16Zfv37xXqDRpUsXypcvz9SpUzl9+jT16tVj9OjRcZLI+fLlY/fu3bz//vv88ccf5MuXj+HDh8epPD937hwXL17k7NmzQNx5qg3DYN68ecybNy9Zr5HNmjVrePPNN8mZMyfr168nOjqaadOmUbBgQRYvXkzfvn1xcXFh69at9O3bl1deeYUbN24wdOhQ+zi2bduWLVu28Oijj6YohqTYvXs3YF5MA+YYX7p0iVOnTnHs2DH27t3LhQsXqFKlCseOHcPJyYmYmBgGDx7MihUr0i0um3PnzrFmzRqKFCkS74UIyfHXX38BsGvXLnbt2hVnfcuWLe3J+KS8j/777z9Onz4NwNq1a+P9e/bSSy9leDLe9rytVivTp0+Ps75JkyYOyfhz584xc+ZM2rRpw2OPPZYmMURFRbFr164U/+2NLxlvm2LB9nkxDCPONrE7jEyePJnNmzdTokQJxo4dS+HCheNcACNZQ8WKd5LxLVrcWW47MaLKeBERERERSYnChWHMGLO6fNgw6NQJfHwyOqq4Tp68c6HAm2/C3bNR5s5tVsrXqwerV8O775rPS1LH1qa+aNGMjUNERNKIIQkKCAgwACMgICDR7cLCwowjR44YYWFhaXr8mJgY4+bNm0ZMTEya7lceDJ06dTJy5cpl+Pn5GXny5EnWzc/Pz/Dx8THc3NyMxYsXG4ZhGFar1Rg4cKABGG3atHE41oYNG4yyZcsagAEYbm5uRqlSpYzatWsbjz76qNGgQQOjZs2aRrly5Qw/Pz/jk08+SfLzeP755w3AOHDgQLKe/x9//GEARtu2bY2YmBijXbt29vicnZ0Tvdm2K1euXLKOmV7Wrl1rjwkwFi5c6LDex8fH6NChg7Fjxw7j8OHDxtGjR+23UaNGGYBx6tQph8fs2rXLGDt2rFG2bFnDycnJeO6554yrV6/a12/ZssVo1aqVARiPPvqoce7cOcMwDOPixYtGhQoVDMCoV6+e4e/vn6Tn8Ouvvzo8h4RuS5cudXjc77//bjRv3tyoWLGiARhNmjQxDMMw+vXrZ1gsFvvjnJycjCpVqhivvPKK8fXXXxv79+83oqKijKFDhxqAsWbNmuS+7Pe0aNEio3DhwsZDDz1kFClSxHB1dTUAY/DgwWl6HP2tvr9KlixpdOnSJdmPmz17tgEYmzdvdljeq1cvo3jx4gZgrFixwjAMwxg9erRRoEABwzAMY82aNUaNGjUMwBgyZIj97+xTTz1l3Lx50yhfvrwBGMOGDbtnDOn1fUHSz1tvRRtgGH37Rjssr1vXMMAwlizJoMAkRSIjI42lS5cakZGRGR2K3Aca76xLY5u9aLyzNo1v9qLxjisiwjDKlTP/b/HGGxkdTVwhIYZRpYoZX8OGhpHY0M2ZY25nsRjG6tUa79Tq2dN8PadOzehI4qfxzT401lmbxjd1kppDNgzDUGW8SBo5c+YM33zzTZK2fffdd1m8eDGBgYFx2pan1L///svWrVspVaoUP/zwg8O6pk2bcuTIEVavXs2vv/7K33//zfnz5zl79mycinYXFxeee+65JB/3xo0bAERERCQr3ubNm/PNN9/QuXNnnJycWLx4MS4uLri4JO3PUnR0NJGRkck6ZnqpX78+Xl5eFCtWjDZt2tDlrsuEQ0ND8fHxoWzZsnHGu0CBAvZtYvv333/58MMP6dGjB8uXL6dcuXIO68+cOcOBAwf44osvePnll+0VvYUKFWLnzp0MGDCAhx9+2KHDQ2JsUwZs3ryZhg0bxlm/ceNGmjVrFifORo0a0aVLF3Lnzs1rr73GuHHjAHjhhRfYv38/zZs3p1mzZtSpUyfelvxDhw7lxo0bKa5yTky7du33D7QzAABoDUlEQVR4+eWXCQ4OpkCBAtSrV4+GDRsyevToONvu3buXJUuW3HOfvr6+DBkyJM1jza7Wr1/P+vXr77ld7Pb3a9aswcPDI9nH6tSpE/Xq1aN48eIOyx9++GEWLFhA+/btad68OQBhYWH29VWrVuXIkSM0bNiQhg0b0r9/fxo1asS3336Ll5cXv//+O40bN6ZBgwbJjkkefJUqmV0Sjhxx7BajyngREREREUmtHDng44+hTRv49FN46SWoWDGjozIZBvTvDwcOQP788OOP4Oqa8PbPPw/btsEXX0DPnmb7fUk5takXEclaLIYRTy9WASAwMBAfHx8CAgISnQM5PDycM2fOUKJEiTSdO9xqtaZpslbSly1ZmRSGYaTL+IaHh/Pff//Z22MnRUREBJGRkURHR2O1WnFycrK3GZe0k5Lxts1DnpDIyMg4LfEzwo0bN/Dz88voMOIVGhqKh4fHPaddmDNnDi+88MI991e8eHH7dAQ2+ludcmPHjrVfwJGYJk2asHHjxnSJ4fr16zg7Oyc6BUBUVBSut8867N+/n3z58lGwYEH7eF+9epV8+fLd81jp9X1B0s/OnVHUreuKn5/BtWsWLBaIjAR3d/Pk1KVLcPuaKskEoqKiWLVqFW3btrV/piXr0nhnXRrb7EXjnbVpfLMXjXfCOnY0549v0QLWrjXnYs9oX30Fr7xizv/+xx/QtOm9HxMeDo0awd9/Q61aVoYNW0mHDm003ilQsiScOQObN0M8NTMZTp/n7ENjnbVpfFMnqTlkAGUNRNJI06ZNMQwjSbf04u7unqxEPICbmxu5cuXC19eXPHnyKBH/AEksEQ9x56bPKA9qIh7A09Pznol4gN69eyfps3t3Il5SZ+zYsUl63dMrEQ+QJ0+eRBPxgMOX0UceeQRPT0+H9UlJxEvmVL48ODkZ3Lhh4fJlc9nFi2YiPkcO0NCLiIiIiEhqffghuLmZSe+ff87oaGD3bhg0yLw/aVLSEvFgXrS8aBH4+cHffzvxzTeV0y3GrMxqvTNnvCrjRUSyBiXjRURERETi4eEBBQua03gcPmwui90uUM0wREREREQktUqWhLffNu+/+SbcNUPgfXXjBnTtChER8OSTd+JKqocfhvnzwWIxWL26BN9//wCU+WcyV65AVJTZISGJs0+KiMgDTqcQRUREREQS8NBDQQAcOmT+fu6cbXkGBSQiIiIiIlnO8OFQrJj5/4333suYGKxWeO45OHvWvEBg7tyUtcxv0wZGjrQCMGCAMwcOpG2cWZ2tKr5gQVDXaBGRrEHJeBERERGRBBQrFgjErYwvViyDAhIRERERkSzH09NsVw8wdSqcPn3/Y5g8GVauNNvNL1kC95jRLVEjR1qpXv0yYWEWunSBgIA0CzPLi92NTUREsgYl40VEREREElCsmCrjRUREREQk/XXuDC1amC3i33zz/h573ToYM8a8/9lnUK1a6vbn7AxvvLGbYsUMTp2C3r3BMFIbZfag+eJFRLIeJeNFRERERBIQuzLeMFSlICIiIiIi6cNigU8+ARcXWLYMfv/9/hz3wgXo0cNsU9+nD7z4Ytrs19s7ioULY8iRA5YuhWnT0ma/WZ3t/5xFi2ZsHCIiknaUjBcRERERSUDhwsG4uBgEBponqWyV8WpTLyIiIiIiaa1iRRg0yLz/2msQGZm+x4uMhG7d4No1sxr+00/Tdv+1ahl88ol5f/hw2LgxbfefFekCcBGRrEfJeBERERGRBLi6GpQpY94/fFgnRkREREREJH298w4UKAAnTsDHH6fvsd5+G7ZtAx8fc554D4+0P8Yrr8Bzz5mV908/DRcvpv0xshJbm3pVxouIZB1KxouIiIiIJKJiRXNywx074OZNc5kq40VEREREJD34+MB775n3x49Pv+T1jz/eSfbPmwclS6bPcSwW+PxzeOQRuHwZuneHqKj0OVZWoAvARUSyHiXjRUREREQSYUvGr15t/u7tbd5ERERERETSw3PPQb16EBwMw4al/f6PHoWXXjLvDx8OTz6Z9seIzdPTrLz39oa//jKPKXHFxIC/v3lfyXgRkawj3ZLxc+fOpXLlynh4eFCrVi22bduWqv2dOXOGrl27kidPHlxcXChSpAgfffRRvNtu376dpk2bkitXLkqUKME333yTqmOLSMZavHgxe/bsibP80KFD8W6/Y8cOwsLC0jssERHJJipVulMZDzopIiIiIiIi6cvJyZy/3WKB7783E9hpJTgYunQxfzZrBhMmpN2+E1OmDMyda97/8ENYvPj+HDczuXIFoqPN8S9UKKOjERGRtJIuyfhp06bRu3dvgoODefXVV3FycqJly5acPHkyRfu7cOECdevWZcmSJRQpUoTWrVtz48YN3njjDaZNm+aw7ZYtW2jatCm7d++mV69e1KhRg5deeokffvghLZ6aiGSAl156iYULFzosW7p0KdWqVWPDhg0Oyw3DoHHjxjz77LP3M0QREcnCbJXxhvlDLepFRERERCTd1ap1p3p90CCzajq1DMOcw/3oUTPZu2ABuLikfr9J1bHjnUr/F16AY8fu37EzA1uL+kKF7u+4iIhI+krzZPzZs2cZOXIkpUqVYu/evXz44Yds2bKFMmXKMHjw4BTtc9iwYdy4cYPvv/+eAwcOsGrVKnbt2oWnpyeTJk0i5vY3kZiYGF5++WWsVisbN27k888/Z8mSJfTv35/XX3+dkJCQtHyqInKXFi1aYLFYUnz77rvv4t2vm5sbOXLkcFj25JNPUrduXd566y2H5RcvXiQyMpI2bdqk2/MUEZHspXRpiP3PkCrjRURERETkfpg4EXLnhn374MsvU7+/zz4zE/DOzvDTT1CgQOr3mVzvvgtNmzpW6ItJ88WLiGRNaZ6MnzdvHpGRkYwZMwZfX18AXF1dGTJkCL///jvXr19P1v4CAgJYtmwZAwcO5JlnnrEvr1y5Mq1ateLmzZucPXsWMKvijx49Sq9evahZs6Z927fffptr166xdu3a1D9BSZbz58/Ts2dPfH198fT0pFatWvzyyy/29b1798ZisbDaNgnrbWfPnsVisdC0aVOH5YcOHeKJJ54gV65ceHl50bhxYzZt2uSwzdixYxNN+CY0vcG9hIeHM3LkSB5++GE8PT3p2LEjFy9ejHfbVatWUadOHXLmzEnFihVZsWJFvNv5+/vzzDPPkC9fPvLkycObb75JVFRUnO3OnDnDSy+9RJEiRfDw8KB+/foJ7vPo0aO0b98eX19fChUqxKRJk+LdrkOHDvG+Pg8//HDSXpB45MiRAz8/Pz7//PNk3d544w0AXBK45NPZ2RlnZ2fA/BszatQoJk+eTKVKlWjatCmTJ09mzJgxrFu3zt66/u73joiISEq5uED58nd+V2W8iIiIiIjcD/ny3WkjP2oUJPPUuoPt2+HNN837778PDRumPr6UcHGBhQvN6u8jR8xKfVsXsuzuwgXzZ9GiGRuHiIikrTRvdrJ161YsFgvt27d3WN68eXOsViubN2+mY8eOSd6fj48Pt27dsle/xxYZGQncSeBt3boVgCeeeMJhu+LFi1OqVCk2btyYrGNL6vj7+1O3bl1u3LjB008/jZubGz/++CNdunRh3bp1NG/ePFn7O3DgAA0aNMDZ2ZlnnnmG8PBwFi5cSOvWrdm3bx/lY58lx3wfVKlSJc5+6tatm+znYhgG3bp1Y8WKFdSvX5/OnTuzaNEiWrduzZ49exyqthctWkT37t3JmzcvL730EkeOHKFTp05s2LCBRo0a2be7evUq7dq149y5c3Tt2hU/Pz9mzZpFcHAwX8a61PXo0aM0atSI0NBQunfvjre3N0uWLOHJJ5/ko48+cug4ceLECRo2bEhQUBDPPPMMhmEwevRoAEaMGOHwnHbv3k3NmjXjVJDbLqJJiRw5cpArVy769euXrMdt3LiR6dOn4+rqal9mGAZBQUF4eHhgsVgACA4O5sCBA2zbto1Dhw6RI0cOKlasiNVqJSoqisKFC3Pr1i2cnJwYNWoUhmEQHR1NeHg4K1aswMkpXWbmEBGRbKByZThwwLyvKgUREREREblf+vUzq+IPHjQT8p9/nvx9XL0KTz0FUVHQtSu8/nqah5ksBQrAokVmhfyCBfDoozBwYMbG9CBQZbyISNaU5sn4y5cvU6RIEfz8/ByWFylSBDc3N06fPp3sfbq4uMSpmA0JCWHTpk0ULFiQYrfLky5fvgwQbwK2VKlSKTq2pNykSZP477//WLp0KR06dADg5Zdfpk6dOowePTrZyfj//e9/BAcHs3fvXqpVqwaYrcq7dOnChAkTmD9/vsP2nTt3pnfv3mnxVFiwYAErVqygS5cuLFq0CIvFwuDBg6lQoQIfffQRb7/9NgCBgYH0798fX19fdu3aRfHixQFo3749/fr14/Dhw/Z9jho1in///ZePP/6Y1157DTDbvHfv3p0+ffrYLxoYOHAgAQEBbN26ldq1awNm9X+9evUYMmQITz75JCVKlLBve+PGDZYtW8aTTz4JQKVKlRgzZgy9evWyf1auXLmCv78/r7/+epw276mR2mR37M/55cuXKVSokP338ePHM378eIKCgggNDaV48eJ89tlndOnShbFjxzJ48GAKFy5M165dKVOmDEWLFmX58uXExMTQqlWrVMUlIiJSqdKd+6qMFxERERGR+8XFBT791Excf/GFWUlevXrSHx8TA888Y1Zdly0L33wDt+teMlSDBmaF/htvmBX7NWtC/foZHVXGUjJeRCRrSnIy/ueff2bPnj2JblOjRg0CAwPJly9fvOt9fHwSbOudXDNmzCAkJIQhQ4bYq2YDAwMB4j2+j48P//zzT5ocW5LG1j4+diK0Vq1aVKhQgZ07d8bbjv1e+8uXL589EQ9mwt3T05O//vorTWJOyNdff43FYmHatGn291vx4sXp0aMHP/zwgz0Zv3TpUq5du8a4cePsiXiAYcOG0bhxY/bt20e1atWIiIhg/vz5PPzwwwwYMMC+XdeuXSlZsiQLFiygbt26XLhwgfXr19O9e3d7Ih7M6vUBAwYwePBg1q5dyyuvvMK5c+dYu3YtzZo1syfiAfr378+ECRP4+eefef32Za+7d+8GcHgt04KtlbzNrVu3uHTpUoLbly1b1iGBHzsZnydPHrZs2ULOnDl57LHH6Ny5M8899xweHh6MGDGCypUr07NnT4KCgvjll18wDIMpU6awefNm+vXrx7hx4zh+/DgeHh7MmjUrTZ+niIhkP7GT8ToxIiIiIiIi91OTJvD002Z790GDYPPmpCfUx4+HtWvB0xOWLAFv7/SNNTkGD4atW80q+aeegr17zdb82ZXa1IuIZE1JTsYvX76cuXPnJrrN888/j4uLC56envGuz5EjB6GhocmLMB7nz59n4sSJFChQgCFDhtiX2xJ58R0/KceOiIggIiLC/rstuR8VFZVo4jgqKgrDMLBarVit1mQ9l8QYtyfLse07s3FzcwNg37591KtXz758586dxMTE4OTkZH+Od7928d13c3Pjxo0bnD9/niJFitjXX7582eE1SmifKWUYBtu3b+eRRx6hWLFiDvts2rQp3377LdevX8fX15ctW7YA0K5dO4ft6tati7u7Oxs2bKBKlSrs3r2bsLAwHnvssTjPt2nTpmzcuBGr1WqvpK9Ro0ac55I7d27AbHdvtVrtFyS0b9/eYVsPDw/q1KnDhg0b7BX4f//9NxaLJd79pkbs1x5g4cKFvPrqqwluf/PmTby9ve3bxx4zZ2dn+/vGxcWFfPnyUadOHd544w0+/fRTChUqRL58+bhx4wYAX375Ja1bt+bKlSvUrVsXq9VKREQEefLkeSA+P5n98ywJ09hmL6kZb6vVimEYREVFxbl4SR5Mtu9/UVFRt+eMd8XJyaBAgWiSeU2hPABij6dkfRrvrEtjm71ovLM2jW/2ovFOvUmTYPlyF7ZssTB3bjTPPHPvidZXr7Ywfrx5zvyzz6IpV864L/+XSc54z5oFBw64cPy4haeftrJyZQzZ9b/M58+7ABYKFYomKure45tR9HnOPjTWWZvGN3WS87olORk/Z84c5syZc8/tatSoYZ/LPb7AElqXVIZh8MILLxAUFMTs2bPxjnUpX86cOQFzLvm729on5diTJ09m3LhxcZavWbMmwQsMwEwUFixYkODg4DjHMAxI7fUHISFBqdtBMnl6pk2roubNm7N79266devGtGnT4sxNHhQUZH+zhoaG2i9+AHNucIDo6Gj78pYtW/Ljjz/y2GOP8eGHHzok+OHOxRO2CyrCw8Md9plSAQEBhIWFUb58+Tj7K1iwIACHDh2iatWq+Pv74+TkxEMPPRRn24ceeohjx44RGBjI2bNnAbOFfFCQ4/gWKVKEn376icDAQPv76dKlS3H2d/DgQcCsIA8MDOTcuXOAOSVDfMfeuXOnffmOHTvw8vLi6aefZteuXURHR1O9enXeeOMNmjVrltKXiujoaKxWa5zj79+/394iH2D06NHMmDGDqKgoAgMD7RfK3P0+sDEMg4iICAIDAyldujTNmjWjVq1alC9fntKlS5MvXz769+/PRx99BJidAwIDA7l16xbFixdPk/dBWrl7vCXr0NhmLykZ78jISMLCwti0aRPR0dHpEJWkl7Vr1wLQvXs5vLyi+OMPTX2UmdnGU7IHjXfWpbHNXjTeWZvGN3vReKdO585l+P77irz5ZjRubn/g6Znw/y0vX/bgrbeaAtCmzRl8fQ+watV9CvS2pI73wIG5GDq0MevXu/Dccyd55plj6RzZgycmBvz9nwAsnDjxB9evh2d0SPekz3P2obHO2jS+KZOc4vM0nzO+cOHC7Ny5M87ymJgYbty4Ya/mTampU6fyxx9/0KdPH7p06RLn2ABnz56lYsWKDuuuXLlyz2P/73//480337T/HhgYyEMPPUTr1q0dkv53Cw8P5/z583h5eeHu7u6wLiQEihZN3Tza91tgoJXb1zWkypgxY9i+fTubN2+mR48eVK1alXHjxvHEE0/Yt3F1dQVgyZIl7N271748ICAAMC90sL3206dP5+DBgxw5coTHH3+cxo0b8+6779KgQQOH49oq8n/77Tf8/f0d1tlanCeHLZbChQvHeR/Y3nMBAQF4e3sTFhaGj48PefPmjbMfX19frl27hre3t/0ihDx58pArVy5763uA/PnzExQUhJOTE1WrVgVg8eLFjBo1yv4evnTpEnPmzMHZ2ZknnngCb29ve+K+ePHiceLMly8fly9fti/fv38/QUFBXLp0iWeffZagoCCWLFlC586dWbJkCR07dkzWa2Tj4uKCk5OT/Ti2n15eXg4x5ciRw/784U43C09Pz3g/axaLhX///Zdhw4YxadIkWrRo4bDeMAw++eQT+3vh+vXreHt7ExgYSMGCBRP9/N4vhmEQFBQUZ7wl89PYZi+pGe/w8HA8PDxo3LhxnO8L8mCKiopi7dq1tGrVCldXV9q2ta0pn5FhSQrdPZ6StWm8sy6Nbfai8c7aNL7Zi8Y7bbRoAdu3G5w65c7ff7fhvffi79gWEQFNmzoTFORErVpWFi0qipvb/et9npLxzp0bnn0WFi0qR48epWjf/sGtDE8P/v5gtTrh7GzQs2fzB7o7gD7P2YfGOmvT+KZOcopA0zwZX7VqVVauXMn58+d5KNaEmnv37iUqKooCBQqkeN9//vkno0aN4pFHHuGTTz6J99gAe/bscUjGW61Wdu/eTcOGDRPdv5ubmz2RG5urq2uib8SYmBgsFgtOTk4O818DOGWuPDzA7eeR+v14eXmxfv16PvvsM95//332799Px44d6dChA/Pnzydnzpz2RMbChQsTjQegUKFC7Nq1i6lTp/Lpp5+yadMmGjduTL9+/fj000/t3RBs+/z111/59ddfHfbl4+PDqFGjkvU8bInjnDlzxhlfWzIlPDwcJycn+zQNd29n209YWBhOTk72fXp6etrfO/Hts1ixYjz11FMsWrSIBg0aMHDgQMLDw/nss8+4du0a7dq1s7fst71Hvby84hzfzc2N0NBQnJycCAkJoUKFCjz33HNMnDjRvs2IESOoU6cOb7/9Np06dUpRUtH2GNvxY/+MHVNStzMMg/Xr1xMUFMTChQupX78+P/30E/37949z7Jo1a9K3b1++/vpr/v33X5ycnLh58yZ58+aNdzzuN1s767vHWzI/jW32kprxdnJywmKx3PN7hTx4NGZZi8Yze9F4Z10a2+xF4521aXyzF4136ri6wscfQ7t28Mknzrz8svPtKbUcvfYa7N4Nfn6weLETXl4Zc74iOePdqxfs2gWffAIvvODCnj1QsmQ6B/gAuXTJ/Fm4sAV398zxGdHnOfvQWGdtGt+USc5rlub/Crdr1w6Ab775xmH5ggULAGjcuHGK9nvq1Cm6du2Kp6cnS5YsibdtfMOGDfH29ubrr792WL5y5UoCAwNTfOzU8PSE4OCU3QIDrVy4cIvAQGuK95GSWyId+ZPNxcWFwYMHc+bMGWbOnImvry/Lli2ja9euDtv99ttvGIZhv505cyaB19OTsWPHcu7cOSZOnIi7uzuzZs1i0KBBcbadPXu2wz4Nw+DWrVvJfg6xpz+4m63C3bYuZ86cSZqmITn7/Pbbb+nRowfHjx9n4MCBvPXWW/bXZ/jw4UmOM/ax16xZ45CIByhTpgwvvvgi//zzD4cOHYr3OSRXTExMousTm295x44dFC9enDZt2hAaGsqAAQPYunWr/XmGhYXZx7Vdu3b4+fkxadIkunbtyunTp4mJieHatWupugBIRERERERERETkQdK2LbRvD9HRMHiwOU1qbN99Z87DbrHA/PlQvHjGxJkS778P9etDQAB06QJhYRkd0f1z4YL5s+j9a2AgIiL3SZon4x999FFq1arFlClTWL58OQBLly5l5syZlC1bljp16iR7n5cvX6ZVq1bcuHGD+fPnU6ZMmXi38/Dw4JVXXuHPP//knXfeITo6mqNHjzJ48GDc3Nx46qmnUvXcUsJigZw5M9ctPbosu7q68uqrr7Jr1y7y5s3L6tWrWb9+fYr3lzNnTkaMGMHGjRtxc3Pjiy++4NSpU2kY8R3e3t54eXnZ53mP7cqVKwD29vGFCxfm6tWr8c4VEXuqBFt7e9s874nt08vLix9++IHz58+zdu1ae5v9Nm3aOHR7iD1NQ2LHTkzZsmUBErwYIrkiIiIAKFGiBBaLxX774IMPHNbHp3bt2jRr1ox9+/ZRoEABe+t/W1cBDw8P+/5WrlyJp6cnrq6uVKtWjS1btuDv74/Vak3w74WIiIiIiIiIiEhmNH065MgBa9bAsmV3lh88CH37mvdHj4Y2bTImvpTKkQN++gny5YN9+2DgwIyO6P45f978GavZsIiIZBHp0p9m/vz55MmThw4dOpAzZ046deqEk5MTs2fPdmh9/fPPPzNq1Kh7Jv7+97//cfbsWUqXLs327dsZNWqUwy32XOMTJkygUaNGjB8/nly5clGpUiXOnDnDe++9R8ns1Ncmg+3du5d69eoxfvx4h+WlSpVi8ODBgDmdQFKtWrWKevXq8dVXXzksr1u3Lr169cIwDPbt25fquBNSpUqVeOPduXMngL36OvZUCbFdu3aNM2fO2LerWLEirq6uHDhwIN59enp64uXl5bC8SJEitGzZknXr1mGxWJg0aZLD+oSObdtn7ArxhD5zN27cAMwW+Wmhfv36fPXVVwnenBOZ/MjJyYm5c+dSqVKleNfv37+fo0ePcvToUZo2bWpfXq9ePf7++2927doF3LnAQEREREREREREJCsoXRreesu8/8YbZgV5YOCdavLWrWHMmIyNMaWKFoUFC8zpX7/9Fu5qwJtlKRkvIpJ1pfmc8WAmvw4cOMCkSZPYsWMHDz/8MGPGjIlTobp8+XLmzp1Ly5YtKVGiRIL7++uvvwA4ceJEnNbaAKVLl6Z69eqAOd/2hg0bmDFjBsuXL8fT05NBgwbRunXrNHyGci9OTk7s2LEDT09Pxtz1zS/2fOlJFRUVxY4dO6hYsSIvv/xyqveXXO3atWPkyJFs3LjRIfG7cOFCvL29qVatGgCPP/44Tk5OfP311w5V63dP0+Dp6UmTJk1YtmwZt27dws/PDzC7QKxfv54mTZrEG8cff/zBzp07eeaZZ+zveZsyZcpQpkwZ5s6dy7Bhw+zzVRw4cIAjR47Q9/ZlsTNnzmTAgAEcOXKEChUqOOzjt99+A8yLBdJChQoV4hwjvVWrVo1cuXIxbdo0+30REREREREREZGsZMQImDcPzp6FqVPhwAE4edJM5s6fD4nUwDzwWrSAd981n+OAAVC9OtSokdFRpS+1qRcRybrSpTIewM/Pj2nTprF582a+++67eFtFz5kzB8MwHJKb8Tlx4kScub9j33r37u2wvbOzM4MHD+aPP/5gxYoVSsRngMqVK1OwYEE2b95srx4HCAkJYc6cOVgsFpo3b57k/TVs2BB3d3eWLFniUNV95coVFi1ahKenJ48++miaPofYXnjhBXLlykWfPn04duwYMTExjBo1it27d9OtWzd74rto0aJ07tyZefPm8eWXX2IYBlu2bGHcuHHkyZOHxx9/3L7P1157jcDAQHr16sXNmze5desWvXv3JiwsjF69esUbxzvvvIO7u3u8F6UADB48mFOnTvHqq68SFhaGv78/L774IoZh8MwzzwDQsmVLLBYLb731FtHR0fbHTp8+nc2bN1OtWjUqV66cotfpXnPE30tic8jfrWrVqvZk/8aNG+3LnZ2dad++Pdu3b3d4vUVERERERERERLKKnDlh2jTz/rhx8PPP4OoKixbB7dkeM7Vhw+DJJyEiwqz4v93QM8tSZbyISNaVLpXxIs7Oznz88cc8/fTTNGnShG7duuHl5cVvv/3GmTNneO211yhfvnyS95cnTx4mTJjA0KFDqV69Ot26dQPM7grXrl3jww8/jDMn+s8//xzvPPKFChViwIAB9m327NlDnz59Eu3OUKhQIWbPnk2vXr2oWLEibm5uhIeHU7JkSaZOneqw7cyZMzl8+DB9+/bl9ddfJywsDBcXF3sVvU27du0YOHAgM2bMIH/+/FgsFqKioujYsaM9cR7b8uXL2bJlC8OHD6d48eLxxtm/f382bdrEN998w3fffUdMTAwxMTG8/vrr9kr9smXL0q9fPz7//HNKly5N+fLlOXv2LMePH8fPz485c+Yk+DrcS1RUFFFRURw7dixZjzt37pz98UkVFhaGu7s7AO3bt3dYZ0vqX7p0KVlxiIiIiIiIiIiIZBbdusGsWWCrU5k+HerWzdCQ0oyTE8ydCzVrwunT5nNduRLc3DI6svShZLyISNalZLykm27dupE7d24mTpzIkiVLiI6OpkKFCsyaNcveMj053nrrLYoUKcL06dP57rvvsFgsVKtWjRkzZtC1a9c4269YsYIVK1bEWV61alV7Mj6pUyUAdOnShfLlyzN16lROnz5NvXr1GD16tEOCHSBfvnzs3r2b999/nz/++IN8+fIxfPhwatWqFWefEyZMoFWrVnz99dcEBwfTpUsXXn311TjbWa1WRowYQf78+RkxYkSCMVosFn788UfatWvH/PnzAejduzc9evRw2O7TTz+lXLlyfPbZZ2zYsIHChQvTv39//ve//1E0Fb2QoqKiuHjxYopb08eXjLdarQQFBWGxWAAwDCPONuHh4Xh5eQHw9ddf88MPP1CiRAlmz55N0aJFGT9+fIriEREREREREREReVBZLPDZZ9CqlVlF3r9/RkeUtnLnNiv+GzaEP/6A55+HH34wE/VZSXQ0/PefeV9t6kVEsh4l4yVdtW7dOtFpAubMmRNvJfbDDz8cb9K1R48ecRLLdxs7dixjx45NUnwJHT8hlSpVYu7cuffczsPDgzFjxjBmzJh7btu+fXuefPLJRLdxcnLi0KFDSY7zueee47nnnktwvW0qh8GDByd5n0kRHR1NzZo1+fvvv5P1uI0bN9KsWTOHtvkAb7/9NsuWLSMwMJA8efIAZkW8zaFDh+jTpw+7d++ma9euTJ48mdGjR9OgQQN+//13Hn/8cSZMmMCJEydYuHBh6p+giIiIiIiIiIjIA6RiRfD3z+go0k/VqvDLL9C2Lfz4I+TLB598Yl6IkFX89x9YreDiAgUKZHQ0IiKS1pSMF5F47d27lyVLltxzO19fX4YMGQLA7Nmz472I4l7q1KnD0aNHKVy4sMPycuXKcfLkSRo1akSXLl0Ax2R8+fLlOX36NNWqVaNr166MGTOGChUq8Msvv5AzZ06WL19O8+bNadCgQbJjEhERERERERERkYzXsiV89x306AEzZpgJ61GjMjqqtHPhgvmzSBFwds7YWEREJO0pGS8i8dq/fz8TJ06853bFixe3J+OLFSuWomN5enpSvnz5OMu7devGE088Qf78+e3LBgwYYJ9mAODixYu4uroCUKNGDXLlykW+fPkAyJ07N3/88UecqQREREREREREREQk8+jeHa5ehUGDYPRoyJ8fXnklo6NKG7b54tWiXkQka8pis6uISFrp3bs3hmHc83b27Nl0iyFXrlwOifj42BLxACVLlrQn4m18fX1x1iWlIiIiIiIiIiIimdrAgXcq4l991ZxPPiuwJeMfeihj4xARkfShZLyIiIiIiIiIiIiIiDzwxo83K+KtVujZE/78M6MjSj1bm3ol40VEsiYl40VERERERERERERE5IFnscDMmdCpE0REwJNPwr59GR1V6qhNvYhI1qZkvIiIiIiIiIiIiIiIZArOzvDDD9C4MQQGQps2cPp0RkeVcmpTLyKStSkZLyIiIiIiIiIiIiIimYa7OyxbBlWqwOXL0Lq1+TMzsrWpV2W8iEjWpGS8iIiIiIiIiIiIiIhkKrlzw+rVUKIE/PMPPP64WSmfmURFwX//mfdVGS8ikjUpGS8iIiIiIiIiIiIiIplOoULw+++QLx/s3XtnLvnM4uJFMAxwdYX8+TM6GhERSQ9KxouIiIiIiIiIiIiISKZUpgz89ht4ecH69fDssxATk9FRJY2tRX2RIuCkbI2ISJakP+8iIiIiIiIiIiIiIpJp1awJS5dCjhywaBG89ppZcf6gO3/e/KkW9SIiWZeS8SIiIiIiIiIiIiIikqm1aAHffw8WC8ycCRMmZHREiVu/HsaONe8XK5ahoYiISDpSMl7ui+DgYIKCgtJ0n8YDemnjjRs3WLhwIRdsPYZui4yM5MSJE3G2Dw4OZu/evVit1vsVooiIiIiIiIiIiEiW89RTMGOGef+dd2DWrIyNJz7+/tCjh3nxwPHj5nz3Q4ZkdFQiIpJelIyX+6JNmzY0bNgwTfZ14sQJSpcuzTPPPOOwPDo6mgsXLnD9+nVu3brlcLt58yaXLl0iMDAwTWJIzLlz5+jRowcHDhxwWP7222/TtGlTLl++7LB8//791KhRg5kzZ6Z7bCIiIiIiIiIiIiJZWf/+MGbMnftLlmRsPDZRUfDhh1C+PCxcaM4RP2CAmZCvXj2joxMRkfTiktEBZBcBAQGEhoYm6zFWq5WQkBBCQkJwcro/1014enri4+OT5vt1c3MjOjraYdm0adMYP3487u7uCT6/M2fO4OHh4bCsdOnSBAYG8ueffzosv3DhAiVKlEg0junTp/P666/bf3d2dk5VRfq5c+d46K4Jfdzc3ADIkSOHw/Lhw4czd+5cpkyZwocffmhffvbsWcC8YEFEREREREREREREUmfsWLh0Cb78Enr2hNWroVmzjIvnzz/NxPvhw+bv9erBZ59BjRoZF5OIiNwfSsbfBwEBAcyYMSNOMvpB5OLiwsCBA9MkIb9p0ybc3NxwdXUlIiKC8PBwdu7cSXh4OAULFqRBgwa88847ODk58eabb9K6dWueeuopAL788ksOHTpkT8TXrFmTPXv2xDmGxWKx3//mm29YsWIF7u7uuLu7M3LkSA4cOMCKFSuIiYkhLCyMsmXLOjw+R44cVKtWjeeffz5Zz+3XX39l5cqVuLjE/Qg5Ozs7/Bw7dixWqxV3d3datWqFr68vkyZNIiQkhKeeeorDhw9TpEgRSpcunawYRERERERERERERCQu27zx167Bzz9Dhw5mQvx+V6BfugRDh5pz2QPkzQtTpkDv3mZlvIiIZH1Kxt8HoaGhmSIRD2ar99DQ0DRJxrdt25aQkBCHZXXr1gVgyJAhTJs2jfr167Nv3z4AevToQe/evQFYsWIFFy9etD/O09OThg0b8tVXX3Hx4kUKFy5sX+fv70/Lli3x8/Ojffv29uU3b96kWbNmibbHz5EjB+XKlaNfv37Jem6XLl1i5cqVuLq62pdFRkYSFRVlr7S3dTbYvHkz4eHhbN26lVKlSnH58mViYmKIiIigZcuW7N27l+joaJ5++mmsVitRUVGUKlWKadOmJSsmERERERERERERETE5O8P8+fD447Bxo/lzyxYoVSr9jx0dbVa+jxkDgYHmxQF9+8LEieDnl/7HFxGRB4eS8ZJufv31V3LkyIGLiwtDhgwhKCiIzz//nPDwcIoUKWLfbvHixQDUr1/fviw4OBhvb2/772FhYeTNm5f8+fNTp04d6tSpw++//46zszMFChRgyJAhFCtWzL59REQEx44d45VXXkk0xtS2/49dGf/zzz/To0cP++8tW7akZs2a/P333yxfvpyuXbuydu1aLBYLM2bMYOrUqQQGBrJnzx6qVatG0aJF+eyzz6hTp47DayEiIiIiIiIiIiIiyefuDkuXQpMmsH8/tG5tJuQLFky/Y27ZYs5Vf+CA+XutWmaVfu3a6XdMERF5cCkZL+mmadOm9vs+Pj4YhhEnyXzlyhW++OILGjRoQLly5ezL707GL1++HGdnZ4YNG0ZQUBADBgywt4H39fW1V5FXqVKF06dPYxgGUVFRDB06lOHDhwPQu3dvZsyY4XB82z5sLl68SGBgYLzPx93dnYcffthhWexkfIsWLdi+fTvXr1+nXbt2fPPNN9SqVYuIiAjeffddBg0aRIkSJTh06BAff/wxTZs2JW/evFy7do0RI0bQrFkzvvjiC7p3707//v0Te2lFREREREREREREJAl8fMw54xs0gNOn71TKp0FzWAdXrsDbb8Pcuebvfn4weTL06WNW6YuISPakZLykiwsXLuDv74+bmxvOzs4EBQURGhrKvn37iIyMJDIykipVqtCzZ0+uXbvGd999R3R0NBcvXuTo0aMcPHiQDh062PdXuHBhli9fzjfffANA586dHY63efNmGjZsSExMDAULFqRNmzYO6+fPn5+kuN966y0WLFgQ77rq1avHO2+9Tb58+ciXLx+nTp0CoGTJklSpUoVq1aqxf/9+rl27xqxZswgNDQVg+vTpNG7cGGdnZ2rfviwyMjKSnDlzJilWEREREREREREREbm3ggVhzRp49FHYtw86doTffjMr51MrJgZmzYKRIyEgwFz20ktmIj5v3tTvX0REMjcl4yVdLFy4kKFDh8ZZXr16dfv9ypUrc+jQIQYOHEibNm0IDw+ndu3aXLlyBXd3d1599VX7tnv27KFXr17UqFGDr7/+Gnd3d0JCQmjTpg21a9e2zwvv7u5OhQoVmDFjBtHR0fbK9XXr1uHm5nbPuD08PChevDhnz551WF6rVq0kPT4+devWpWzZstSqVYvy5ctTtmxZTp06xeLFi1m4cCG+vr54eXnZL1JQMl5EREREREREREQkbZUqZVbIN2liVsb36gU//pi6qvVt22DAANi71/y9Rg1zrvh69dIkZBERyQKUjJd00atXL1q1akWOHDlwdnZm48aN9O3bl19//ZUSJUoQFhYGmPOsv/vuu4CZSH/vvfeIiYmhQ4cO5MuXDzBb2bds2RIfHx8GDx5My5YtGTFiBEeOHCEiIoJZs2bZj2uxWOz3y5UrR548edi5c2ecdQlxdXVN0br4rF69mp07dzJmzBiCgoIc1pUuXZq2bdsy93bPopCQEPs2fn5+yTqOiIiIiIiIiIiIiNxb9eqwbBm0aQNLlsDAgeZ87kk4dezg6lUYPhy+/db8PXdumDgR+vZVS3oREXGkZLyki4IFCwLg5eWFl5cXJ06cAKB48eJUrFjRvt26desoUaJEnMe/++67FCxYkO3bt5M/f37mzJlDsWLF8PPz49FHH2XIkCEA9O/fn2LFisUbQ3R0NHny5Enrp5ao8PBwfvvtNwCmTJnC8OHDefPNN/npp5/ibDto0CBatGjBhg0bOHv2LE5OTgD3PWYRERERERERERGR7KJZM5g/H7p1M9vLFygAY8cm7bExMfDVVzBiBNy8aS7r3RumTIH8+dMrYhERycycMjoAybree+89vL29Wbt2rX3ZzZs3uXjxIv7+/gCEhYXx77//0qtXL4dbrly5uHz5sv1xTz75JNWqVaNAgQJ4eXkBkDNnTmbOnEnbtm3jtJW37dtWXZ9UMTExCa6zWq2JPvbzzz+nQIECDBs2DIBFixYxefJkcubMSd26dTEMw37LmTMnBQoUYMGCBZQsWZLTp09z6dIlAAoUKJCsmEVEREREREREREQk6bp2NdvJA4wbB59/fu/H7Npltp9/9VUzEV+1Kvz1F8yerUS8iIgkTJXxkm7CwsIwDINatWqxZcsWABo3bgyY86hv377d3vrd1qre5uzZs+zatcth2ZYtWxgwYADHjx9n9uzZdOjQgZEjRzJr1iweeeQRVq5cad/WMAwCAwOTndiOiIjg33//jbelfZ06dRJ97JNPPsmOHTvo378/devWJW/evADkyJGDHTt2xNmnp6cnrq6uVK1alS1btlCxYkVy5cpl7yogIiIiIiIiIiIiIunj1Vfh8mUzGT9gAOTNC089FXe769fNSvivvgLDAG9vePdd8/EuyrCIiMg96J8KSTdXr17Fz88PX19f+7Jp06ZRqFAhe3W7rTV7fGyJ+nPnztG3b19Wr16Nt7c33377LdWrV+fy5cu89tprlCpVitWrV1O3bl17ZfuFCxeIiIhwaImfWNW7Te/eve0XDNztXu3jixQpwpw5czh16lScdVWrVmXhwoX232vWrGm/X69ePX788UdcXFwoW7bsPWMUERERERERERERkdR75x0zIT9rFvTqBXnyQPPm5jqr1ZwTfvhwMyEP8OyzMHUqqJ5KRESSSsl4STenTp3CarVy4cIF+7LHHnuMypUr239PrPW7bV3BggWJjIykefPmrF+/np49ezpslzt3bm7enqAnLCwMgD/++AOAJk2a2LcLDw+/Z8zNmzenue3b1n3StGlThg0bhsVioVGjRvf12CIiIiIiIiIiIiLZlcUCM2bAtWuweDF06AB//mlWwA8YADt2mNtVrmy2tU+gjktERCRBSsZLuggPD+fo0aOAmeB+5ZVX4t0uMjISIN628CVLlgTMNu9//PEHf//9N7Vr12bXrl3UqlULgH79+rF06VL7YyZOnIifnx//+9//aNiwIcWKFeO7775j1qxZDhX6Nkmplk/MveaRt9m/fz8VKlSId1316tUpWrQou3btitOuX0RERERERERERETSj7MzfP+9Wf2+YQM0awZBQWZCPlcus439wIFwu5GriIhIsigZL+liw4YNREdH8+WXX/Lhhx8ydOjQeLdr3749Dz30ULzrcubMGe/ymJgYoqOjAXNu+Bw5ctjXdenShVmzZrFjxw42b97Ma6+9xueff86QIUOYNm1anH1FRUUREBDAsWPHkvX8rl27Zn98UtStW5ft27fbf7e16QcIDQ3Fzc0NgEuXLiUrDhERERERERERERFJHTc3WLoUmjaFvXvNZT17wvvvQ+HCGRmZiIhkdkrG3weenp64uLjYE8gPMhcXFzw9PVO9nzlz5uDk5ETnzp1p3749bdu2Zd++fXTo0IE+ffrQsmVLKleuTO3ataldu3acx1utVq5fv86hQ4coX748Li4uGIYBmHOsx1akSBGH4w4aNIj+/fvTsGFDChUqxB9//MEHH3xAWFgYM2bMcKjCj4qKYunSpQ7V9ckRXzI+ICAAuFPtb4s79nOzdQQAs7r/5MmTlChRgpdffpm8efPStm3bFMUjIiIiIiIiIiIiIsnn7Q2//w4ffwwtW5qJeRERkdRSMv4+8PHxYeDAgYSGhibrcVarlZCQEHLmzImTk1M6RefI09MTHx+fVO3j1KlTLFq0iMcee4w8efIAsHXrViZPnsyMGTMYOXIkI0eOxGKxkCdPHnx8fHByciI6OpqoqCgiIiK4ceMGMTExNGjQgL/++gvAfjHDL7/8Yp93fsyYMaxbt44TJ04wcuRIFi9eTMeOHfnoo48AKFWqFBs3bqRevXrMnDmTDh060Lp1a3us0dHRCVbNJ2bs2LGMGzfO4QILq9XK448/zsGDBwHsz902jz3AvHnzmDp1KlFRUURHR/PCCy+wdOlShg4dyoABA6hbty5PPPEEn376Kf37909WTCIiIiIiIiIiIiKScvnygWYSFRGRtKRk/H3i4+OT7CS31WolMDAQb2/v+5aMTwulS5dm+fLluLjceXt5eHgwfvx4hg8fzq+//sr69es5ePAg586d4/Lly4SFhRETE4PFYsHFxYUcOXLg6urKs88+a9+H7WKGokWLUrp0aQC8vb2JjIxk7dq1/Pzzz7z++utMmzYNZ2dn++MKFSrE/PnzWbp0qUMiHuDw4cP2pHlyDBw4kKeffpqCBQvalzk5OZE/f35u3LjB888/T6VKlQDHZHzFihU5c+YMjz32GCVKlGDChAn06NGDyZMn4+zszOrVq2nVqhX169dPdkwiIiIiIiIiIiIiIiIi8uBQMl7SRfv27eNd7unpSbdu3ejWrVuy99miRYs4Ld9nzZrFrFmzAGjbti0lSpSI97ENGzakYcOGcZaXL18+2XEA5M2bl7x588ZZ/v777zNr1iyH+e4XLVpkv1+rVi0CAgJwcXHBarWSJ08eGjZsaL94oFq1ahw5coR8+fKlKC4REREREREREREREREReTAoGS9ZRkKJ+PspdqV8QmJ3DKhevbpDFT+gRLyIiIiIiIiIiIiIiIhIFpB5ep+LiIiIiIiIiIiIiIiIiIhkEkrGi4iIiIiIiIiIiIiIiIiIpDEl49PQ3fOZi4iIiNjoe4KIiIiIiIiIiIhI9qJkfBqwzfkdFRWVwZGIiIjIg8r2PcH2vUFEREREREREREREsjYl49OAq6srbm5uBAQEqOpNRERE4jAMg4CAANzc3HB1dc3ocERERERERERERETkPnDJ6ACyirx58+Lv78+FCxfw8fHB1dUVi8WSqn1arVYiIyMJDw/HyUnXTWQ1Gt/sReOddWlss5fkjrdhGERFRREQEEBwcDBFihS5D1GKiIiIiIiIiIiIyINAyfg04u3tDcC1a9fw9/dPk30ahkFYWBgeHh6pTuzLg0fjm71ovLMujW32ktLxdnNzo0iRIvbvCyIiIiIiIiIiIiKS9SkZn4a8vb3x9vYmKiqKmJiYVO8vKiqKTZs20bhxY7W0zYI0vtmLxjvr0thmLykZb2dnZ703RERERERERERERLIhJePTgaura5qcdHd2diY6Ohp3d3edxM+CNL7Zi8Y769LYZi8abxERERERERERERFJKk1uKyIiIiIiIiIiIiIiIiIiksaUjBcREREREREREREREREREUljSsaLiIiIiIiIiIiIiIiIiIikMSXjRURERERERERERERERERE0piS8SIiIiIiIiIiIiIiIiIiImlMyXgREREREREREREREREREZE0pmS8iIiIiIiIiIiIiIiIiIhIGnPJ6AAeZIZhABAYGJghx4+KiiI0NJTAwEBcXV0zJAZJPxrf7EXjnXVpbLMXjXf2ovHOWjSe2YvGO+vS2GYvGu+sTeObvWi8sxeNd9am8c0+NNZZm8Y3dWy5Y1suOTFKxiciKCgIgIceeiiDIxERERERERERERERERERkQdFUFAQPj4+iW5jMZKSss+mrFYrFy9eJFeuXFgslvt+/MDAQB566CHOnz+Pt7f3fT++pC+Nb/ai8c66NLbZi8Y7e9F4Zy0az+xF4511aWyzF4131qbxzV403tmLxjtr0/hmHxrrrE3jmzqGYRAUFEThwoVxckp8VnhVxifCycmJokWLZnQYeHt764OQhWl8sxeNd9alsc1eNN7Zi8Y7a9F4Zi8a76xLY5u9aLyzNo1v9qLxzl403lmbxjf70FhnbRrflLtXRbxN4ql6ERERERERERERERERERERSTYl40VERERERERERERERERERNKYkvEPMDc3N9555x3c3NwyOhRJBxrf7EXjnXVpbLMXjXf2ovHOWjSe2YvGO+vS2GYvGu+sTeObvWi8sxeNd9am8c0+NNZZm8b3/rEYhmFkdBAiIiIiIiIiIiIiIiIiIiJZiSrjRURERERERERERERERERE0piS8SIiIiIiIiIiIiIiIiIiImlMyXgREREREREREREREREREZE0pmS8iIiIiIiIiIiIiIiIiIhIGlMyPoszDCPe+yIi8mDR32uRrEmf7axFY5h9aeyzpoiIiIwOQe4DfX6zvsOHD3P48GFA453V6bt19qLxFhF58OlvddIoGZ/FWSyWOPf1gci6rFZrRocgIimkv9ciWZM+21lL7PG00XhmXWfOnOHgwYOAOfYa66zlr7/+ol+/fvj7+2d0KJLOwsPDAf29zqp27tzJI488QrNmzbh+/Xq8/1ZL1qHv1tmLxjt70XltkcxJf6uTxiWjA5D0c/bsWTZv3syhQ4fImzcvtWrVomHDhri6umIYhv6DkslduHCBCxcuAODn50fZsmVxcjKvr9H4Zj03btzAz88vo8OQdHL48GG++uor/P39KV++PE8++SQ1atTA2dlZn+csRp/l7EWf7azl1q1bHD9+nL/++gtfX18ee+wxChUqZP/+JVmHYRgEBATw6KOPUr9+fd555x2qVq1qT8jrs5v5bd++nebNm1O6dGlu3bpFkSJFMjokSSfbtm1j6NChrFixAl9f34wOR9LYtm3baN68OQUKFODq1ausWLGC3r17Y7Va9e9zFnTixAkWLVrE/v37KVmyJJ06daJWrVo4OztndGiSDnReO2vTee3sRefCsi6d90o6i6FLFLKknTt30rVrVy5fvkxMTAxWqxU/Pz9efPFFJkyYgJubmz4MmdiuXbvo1KkToaGhBAcHkytXLp588knefPNNKlasqD92WcyZM2d4+eWX6dWrF717987ocCSN7dq1i+bNmxMSEmI/yV+hQgXeeustnnvuOZ1YyEL0Wc5e9NnOWi5evMikSZOYO3cuISEhANSsWZMRI0bQsWNHfefKotq0acNff/1F9+7dGThwINWrVwd0gjCz2759O82aNaNq1aq8++67tGzZMqNDknT03HPP8dNPP3Ht2jW8vLwyOhxJQ7bPcrVq1Rg+fDivv/46jRo1Yt68eRkdmqSDnTt30qVLF65evUrOnDkJCgqidOnSTJkyhSeeeCKjw5M0pvPaWZvOa2cvOheWdem8V/LoMtEs6MyZMzz99NPkz5+fmTNncuDAARYtWoSfnx/Tpk1j+vTpxMTE6B+0TOrKlSv07t2bPHny8PXXX7Njxw4mT57M77//Tvfu3fnyyy+JjIxUK80sJDIykh07dvDZZ5/xww8/ZHQ4kobOnj3LU089hbOzM1OnTmXbtm1MmzaN69evM336dPu8h2rVlTXos5x96LOddRiGgdVqZe7cuSxZsoSePXuyZcsWPv30U/777z8++OADQkNDMzpMSScVK1YkNDSUH374gQ8//FAt67OAbdu20bJlSx555BEmTJhgT8THxMQAd9opanyzjoYNGxIZGcmqVauA+MdW45352BLxjzzyCOPGjaNDhw50796d9evX888//2R0eJLGTpw4Qbdu3ciXLx9ffPEFBw8eZOHChdy4cYPPP/88o8OTNKbz2lmbzmtnPzoXljXpvFcKGJJlWK1WwzAM46uvvjJy585tLFiwwGH9/v37jSJFihi1atUyLly44PAYyTz27t1rODs7G6NGjXJYfuPGDaN169ZGmTJljKFDhxphYWGGYWiMM7uYmBjj+vXrRoECBQyLxWJUrlzZ+OmnnzI6LEkl2+dy3rx5hsViMf73v//Z14WGhhoffvihYbFYjBEjRmRUiJLG9FnOHvTZzpoiIiKMMmXKGN26dbMvi4yMND7++GPDYrEYK1asyMDoJD3YPstr1qwx/Pz8jMcee8ywWCzGU089ZRw8eDDOdpI5XL9+3ShatKiRM2dOY8+ePQ7rQkJCjJCQEOPkyZMOyzXGmd/OnTsNi8ViTJw40TAMwwgLCzNu3Lhh/Pbbb8bq1auNK1euGNHR0RkcpSTH1q1bjRw5chh16tQx1q1bZ1/+888/GxaLxVi5cqVhGPr8ZgW2MZwyZYqRN29eY+nSpfZ10dHRxqBBgwyLxWIcO3Ys3sdJ5qLz2tmDzmtnLzoXlvXovFfKqTI+C7FdEbh161YAWrRoAZhXnxiGQcWKFWndujW7d+/mxx9/dHiMZB7BwcFYrVYKFCgAmFfxR0dH4+vry+LFi6lbty4//fQTb731FuHh4bqSMJOzzZeUK1cuevTowfHjxxk+fDiLFy/O4MgkNWx/e//9918Ae1u9mJgYPDw8eOyxx8iXLx8//vgjV65c0Wc4C9BnOXvQZztrunr1KhcuXKB58+YAREVF4erqSpMmTciZMyfBwcFxHqOxzdxsn+USJUoQEBDACy+8wI8//sjixYuZMGEChw4dsm+nK/0zDycnJ7p06YKrqyunTp2yLz958iQvvvgidevWpVatWvTo0YMlS5YQFRWl/0tlclarlYcffhg/Pz/+/PNPLly4wIcffkiDBg1o27Ytjz/+ONWrV+eDDz7A398/o8OVJLh06RJ9+/alUqVKTJw40eG81+OPP061atWYNm0aQUFBOt+VBdjG8Pz583h7e9OmTRvA/C7m7OxMkSJFKFmyJKdOnWLTpk3s2bPHXlGrf58zH53Xzh50Xjt70bmwrEfnvVJOyfgsqGjRokRERHD9+nXgzpyGLi4uVKlSBYCVK1cSFBSkL6eZkLe3NwBr167l1q1b9rGNiYkhV65czJo1iyZNmrBkyRImT55sP4kkmZfV+v/27jyuqjr/4/j7e4Erm4qoiNqgo+MCZArikkrp5EPLVERzaSrrMTM9zDLHyh5NamYuMzVqWQNqqe0zuWSaqZGMe7kE4ZIDOpoLoRhW4gIocO/n90e/e9IEY5N77/f7fv5j3oXHOb383nv5fs89x4mcnBzcd999+OKLL/Dtt9/yg4smWrRoAeCnUzYBsK6lExUVhXvuuQe5ubk4c+YMx7AmOJbNwbGtDxFBnTp1EBAQYJ321s/PDwBw8OBBFBQUICkpCXFxcRg+fDjeeustnlZRE06nExEREejYsSPefPNNDB8+HMnJyVixYgWmT59uLeampaVZExHk2UJCQnD//fejZcuWmDt3LnJycnDixAnEx8dj3bp1aNSoEWJjY5GSkoKHHnoIL7zwAi5fvszx7MVsNhsaN26MXr16ISsrC8uXL8dLL70Em82GiRMn4qmnnkLTpk3x3HPP4fXXX0d+fr67N5l+RZMmTTBp0iQkJydbl5kQEdhsNvj7++P222/HV199hW+//RbAz5egIO/Wpk0bnDx5EocOHQLw82extLQ0HD16FKNGjULfvn3x+9//HqNHj0ZBQQFsNhvnPL0U57X1xnlt83AuTE+c96o8LsZ7uSsnBUpLSwEA0dHRuHTpEp577jnk5+dbA+HcuXPIyMgAAHz11Vc4ffq0dXQSeY9bbrkFo0aNwubNm62eDocDPj4+cDgcCAoKQnJyMiIjI/Haa69h7dq1APgNLW8lIigoKEDXrl3h7++PLl26IDU1FdnZ2fzgooGuXbsiJCTEuo4O8PNYbd26NYqKiqzr03IMe48rW7kmB5xOJ8eypsr6LNalSxeObS/1y/GrlEKjRo3Qu3fvq47qPn/+PFasWAHgpyPDlVLYunUrHn/8ccyZMwelpaX8pdMLlPV67WKz2WC329G5c2fs2bMHJSUlGDt2LBYuXIgPP/wQf/3rXzFp0iTce++9WLVqFceyByrr9TkuLg5PPPEE0tLS8PLLL2P8+PFo1KgR3nrrLWzevBkbN25ERkYGmjVrhr/97W+YPXs2r0vrBcoby66F2KioKOTk5GDy5Mlo1aoVtmzZgn/84x+YPXs23nnnHfTp0wevvvoq9uzZc83PI/dz9XCNxVGjRuHWW2+17rvygJmJEyfC19cXSUlJAH6eGCbvUdZr94ABAxAVFYU777wTSUlJeOedd/Dggw/io48+QoMGDTB+/HhMnToVN998M5YvX44RI0bg0qVLnPP0ApzXNg/ntc3CeW19cU67Cm7U+e+pdhQUFEhJSYk4HA7rNqfTKX379hWllDzwwANy6NAh2b9/vyQnJ0v9+vUlLCxMlFIyd+5cERFeH82DlXddnFWrVklYWJg0b95cvv32WxH5uaPrzxMnTkijRo1k6NChtbOxVG3Xuw7S9u3b5dy5c9bft23bJn5+ftK6dWtZsWJFbWweVVN5fTdv3lzm49LT00UpJdOmTRMRueZ1/no/k9yrrPdml23btnEsa6a8z2IbN2686nEc296hvPF7/Phxyc3Ntf5+9uxZmTJliqxatUouXLggxcXFkpmZKW3atJGbbrpJ0tPTRYQtPV15vZ1Op3XbokWLxG63S1pamnVbcnKyKKXE399ffvvb3171PPIc13s//stf/iJKKVFKyeTJk63bL1++LCIiR44ckYiICOnYsaN89913tbbNVDXltXb9fefOnRIYGChBQUGyZMkSEREpLi4WkZ/G7datW6VBgwbSp08fzo94oF/re6Xz58/L4MGDJTw8XHbt2lVbm0g1qLzeq1evlttvv12UUtKwYUNRSkloaKhkZGRc9dx+/fqJUkqSkpJEhO/Nno7z2nrjvLZZOK+tL85p1wwePubF0tLSMGDAANx8881o27YtnnjiCaSkpEAphY8//hg9e/bE+++/j+joaHTq1Anjxo1DbGws3n77bYSFhWH79u0AeKSwp9qzZw8WLFhw1XVI5f+PIhoyZAieeuop5OXlYfDgwcjNzbWOIHT9GRERgbvvvhurVq2yjjQkz1VWb+Dn5r169UK9evXgcDjgdDoRHx+PjRs38khCL1FWX9c3dXr37g3g52/xuL55FRYWBl9fX+Tl5QH4+TpLqampmDVrlnXtLPIsZb03b9y40bo/Pj6eY1kjZfX+7LPPoJSyri/uGusc256vrJ6pqakAfjoFW3h4uPXYkJAQTJkyBUOGDEFQUBD8/PwQGRmJ2bNn4+TJk9bnbLb0XNd7vVZKWWOzR48eAICMjAzYbDYUFRWhcePGCAwMxOXLl9G5c2ecOnXKeh55hl97Px4/fjzuuOMO+Pv74/777wfw02cxu90Op9OJVq1aYeDAgdi/fz927tzprt2gCrhea9c4Dg0NRXBwMAoLC+Hr6wvgp9Ncy/9/q7pXr16IiorC0aNHcfbsWbftC12rIn2vVLduXTz55JP47rvv+G1KL1RW7w0bNgAAEhIS8OmnnyI9PR2zZs2Cn58fnnnmGcTExMDpdKK0tBSBgYGYMmUKbDYb0tLSAPC92ZNxXltvnNc2C+e19cU57ZrDxXgvdfjwYQwcOBD5+flITExEYmIiPv/8c4wcORLTpk1DYGAgtm7dismTJ+Ouu+5Cnz598Oyzz2LZsmXo2rUr2rRpg9TUVBw5coS/mHioDRs2YNy4cVi6dKn1YqeUsl7snn76aUycOBFHjhzBoEGDkJ2dfc0H0LZt2wIAioqKanfjqdLK6g1c+4ujj4+Pde0zfnDxHmX1/eV4vXIyyeFwICwsDGFhYThw4ID1Ov3pp5/iySefxIIFC/Djjz/W3g5QhZT33jx06FDMnDnTuo4SwLGsg/J6jxgx4qreV451jm3PVV7Pe+6555rx6/pFs06dOgB+eq923da2bVvYbDZ29HCVeb0OCQlBWFgYjh07BgB48803MWbMGHTo0AHz58/HypUr8cc//hFZWVnu2h36hev1nTFjBkpLS9GqVSuMHj0a/fv3h91uB/DzZzHXAq3rurT8XcpzVXQst23b1jroYteuXVZT1/uwzWaDr6+v9fmMPENlXqtdRATx8fG499578corryAtLc3IyV5vVF7v4cOHY/r06SguLkZAQABiY2MRERGB0tJS6/W7rMtTuA6UI8/EeW39cV7bLJzX1hfntGuQO76OT1XnOn3D7NmzxW63y9KlS637srKyZMaMGeLr6yt/+MMfrjqd3sWLF6/6Oe+9954opeTjjz+unQ2nSlu2bJkopSQwMFBee+01KSwstO5znbLH6XTKjBkzpFGjRtK4cWNZvXr1VadQveuuu6RBgwaSnZ1d69tPlXO93uVxneJl+/btYrfbpV27dvLee+/d6E2lKqhKXxGR7t27S+fOncXpdMpnn30mHTt2lLp168q+fftu8BZTZVT0vfnBBx+Ub7755prncyx7l+r2FuHY9iRV7VlSUlLmz1u8eLGEhobK6tWrr/r55Bmq2vuee+6RyMhImTdvnoSGhkpsbKx1iut58+ZJ3bp1JScnp3Z3hq5R0b4PPPCAnDp1SkRE8vPzref+crzed9994u/vL3v37q2lPaCKqsxYPnz4sIj8dDrUdu3aSUhIiKSkpFz185YtWyYBAQGSkJBQ4c/pdOPUxGct1+9fI0eOlNOnT9fKdlPVVKb3kSNHRETk2LFj0rJlS+nRo4d8//33V/28kSNHilJKJkyYUHs7QRXGeW1zcF7bLJzX1hfntGsOF+O91NixY8XPz8/6xdKlpKREli5dKgEBATJ48GD5+uuvr7rf9SK3a9cu8ff3l7Fjx9baNlPlpKamir+/v/Ts2VN8fX1l3rx5ZX5wERF5//33pXv37qKUksjISBk0aJB06tRJlFKSmJgo58+fd8cuUCX8Wu/yuMb0559/LkopiYmJYW8PVNm+rvE9YMAACQ8Pl8WLF0t0dLTUq1dP9u/fX1ubTZVUkffmIUOGyIEDB655Lsey96lKb9cCLse256nq+J0zZ46kpKRIenq6zJ07VyIjIyUyMvKqSSTyPBXt7ZoomD59uiilxG63S+fOna2x7FqQdy3okmeoSN9BgwZJZmamdZ/D4ZDt27fLhQsXRERk7ty5EhAQIL1795azZ8/W5uZTJVSkdUJCghw6dEhERBYtWiQRERESGhoqL7zwgqxbt06ef/55iYqKkqZNm8rBgwfdsRtUjqq8N195TdLRo0dLUFCQLF++vNa2maquor1dr91PPfWU2O126d+/v+zZs0cOHz4sDz74oCilpEWLFnLs2DE37AVVFOe19cd5bbNwXltfnNOuOVyM91LTpk0TpZRs3rxZRK79ds6aNWskICBAEhMTyz16LDo6Wrp27XrVmx95jk8++UR8fX1l1apVkpiYKH5+ftf94JKXlycvv/yy3HrrrRIeHi49evSQZ599Vk6ePOmOzadKqkjv8rg+uOzcufOqSUXyHJXt6xrbrqP6f/Ob30hwcLDxH1o8XXXfmzmWvUtVersew7HtearSMz09XVq1aiVKKWuhtn379mUecEOepaK9ExIS5Pvvv5eDBw9K/fr1pUOHDtZjS0pKrG938QwInqUq43nGjBmilJK2bdtak7/h4eFcnPVwFW09ePBgOXPmjIiIrF27VoYNG2a9doeGhkrfvn0lKyurtjeffkVVP1u7PlNnZWVJUFCQdO/e3Tp4ijxXZcbz2bNnxel0ypgxY8Tf318CAgIkODhYlFLSunVrjmcvwHlt/XFe2yyc19YX57RrDhfjvYxromfDhg1is9nkrrvusj6wXHkEsIjIBx98IHa7XR577LGrbnc4HOJwOOTFF1+U//73v7Wz4VRpS5YskcDAQCkqKpLMzEwZOnRomS92v+x+6dIlKSgoKPM+8lwV7V0etvZsVe07Z84cUUpJSEjINUeEk+eoifdmF45lz1cTvTm2PUd1e2ZmZsrbb78ts2bNkmXLllmnvibPVJ3eaWlp1mJOeZcpIPeqTt8ff/xRHn/8cbnjjjuke/fuMmbMmGu+rUeeoyqtH3nkkatu3717t6SmpsrBgwd5dgsPU933Ztfzi4qKZNasWZz38nBV6T1mzBjruQsWLJDRo0dL//79ZerUqXL8+PHa3QGqFM5rm4Pz2mbhvLa+OKddc7gY76UuXrwoffv2FaWUvPTSS9YRJ1e+cBUUFMgTTzwhSin56KOPrvkZ/AaH55s/f75cvnxZREQOHDggw4YNK/fFztXT4XDwWzpeqjK9yftUZTzv3LnzmtOokueqifdm8h7V6c2x7Xkq23PFihXu2lSqARXtPWHCBFFKyerVq63b+e0rz1fZ8XzlKaxLSkqkpKSEE4JeorKtV65c6a5NpSqozmctzol4n+q8dpP34by2GTivbRbOa+uLc9o1g4vxXsj1wSQ3N1ciIiKkSZMm8u6771q3X/nBZceOHeLv7y9Dhgyxjhwkz1deJ76R6Ym99VbdvufOnbuRm0c1hO/NZqlq7ysX8Ti2PUd1xi+/Ie19+Hqtt6r25QK89+FY1hv7mqU6r908SM77cHzrj/OcZmFvfXFOu2ZxMd4LOZ1O6wiTvXv3SvPmzaVly5by73//2/oQWlxcbD0mJiZGWrRoYR29Qp6trKP+rnzh4xuZXthbb9Xpy18yvQvfm81Snd6cMPQ8HL9mYW+9sa852Fpv7GsW9jYLe+uN85xmYW99cU675tlAXkVEoJSCUgqHDx9G8+bNkZKSgpKSEkyYMAEzZsyAw+GAn58flFIQEVy8eBFNmzaF3W539+bTr3D1BYBvvvkG2dnZAACb7eehGh0djRdeeAGDBw/G008/jSVLlqCwsNAt20vVw956q27fKx9Hno3vzWapbm8fHx937wJdgePXLOytN/Y1B1vrjX3Nwt5mYW+9cZ7TLOytL85p3yC1tepP1Xfl0SibNm2Snj17yrhx40RE5Pjx4xITEyN2u126desm8+bNk3fffVcSEhJEKSUTJkyQ0tJSXmvFg5XVd/z48eUeMXbgwAEZMWKEKKVk4cKFtbWZVEPYW2/saw6+N5uFvfXCnmZhb72xrznYWm/saxb2Ngt7643zYGZhb32x7Y3DxXgvceUg2Lp1q9x2222ilJJNmzZZt589e1amTZsmnTp1EqWUKKWkYcOGMnLkSMnJyXHHZlMFVaRvWfbu3SujR4+WzMzMG72JVIPYW2/saw6+N5uFvfXCnmZhb72xrznYWm/saxb2Ngt7643zYGZhb32x7Y2lRETc/e18uj654rQQ27Ztw6RJk7B7925s2LABffr0gdPphNPphK+vL5xOJxwOB7788kuUlpaiXbt2CA4ORnBwsJv3gspTkb7XO7VHcXExT9XkRdhbb+xrDr43m4W99cKeZmFvvbGvOdhab+xrFvY2C3vrjfNgZmFvfbFtLajt1X+qnF8ejdKzZ0/x9fW1jkZxOBzu2jSqAexrFvbWG/vq5+jRo3L48OFrbmdrPbG3XtjTLOytN/Y1B1vrjX3Nwt5mYW+9sa9Z2FtfbOteXIz3APn5+ZKeni5JSUmyePFiOXfu3DXXwNm6dav06tWLg8ALsa9Z2Ftv7GsGp9Mp58+fl9DQUBk1apRkZWVddZ8LW+uBvfXCnmZhb72xrznYWm/saxb2Ngt76419zcLe+mJbz8DFeDc7efKkPPbYYxIUFGRdDyc2NlZSU1Otx2zbtk169Oghfn5+HARehn3Nwt56Y1/z3H777eLr6yvjxo275rpHbK0f9tYLe5qFvfXGvuZga72xr1nY2yzsrTf2NQt764tt3av8k/zTDSUicDqdePvtt7Fy5Urcd9992L17N2bPno0ffvgBU6dOhdPpBADk5uZiz549SElJqdD1Gcj92Ncs7K039jVXt27d4HA4kJycjDlz5uDw4cPWfadOnWJrzbC3XtjTLOytN/Y1B1vrjX3Nwt5mYW+9sa9Z2FtfbOtm7j0WwGyFhYXSunVrGTFihHXbhQsX5MUXXxSllKxZs8a6/fjx4yLCo1G8Cfuahb31xr5mcbVbsWKFBAcHy7Bhw8THx0fuvfdeOXTokPW4EydOWI//5eUKyHuwt17Y0yzsrTf2NQdb6419zcLeZmFvvbGvWdhbX2zrGXhogxt9//33yMvLQ58+fQAAly9fRnBwMBISEmC321FUVAQRAQC0aNHCnZtKVcC+ZmFvvbGvWVxHfnbv3h2FhYWIj4/HsmXLsHz5ckyfPh1ZWVkAgIiICDgcDthsNiil3LnJVA3srRf2NAt76419zcHWemNfs7C3Wdhbb+xrFvbWF9t6Bi7Gu5G/vz+UUjhx4gQAoE6dOgCAvXv3ori4GMnJyejWrRsSExOxYsUKXLx4kaeG8CLsaxb21hv7msfhcCAkJARRUVHYvHkzhg0bhoULF2Lp0qWYOXMmcnJyUFpaiv379+PkyZPu3lyqJvbWC3uahb31xr7mYGu9sa9Z2Nss7K039jULe+uLbd3P190bYLLGjRujb9++OHnyJIqLi2G323H+/Hl88sknAH66TnFJSQl27NiBbdu2YfLkyXj00Ufh7+/v5i2nimBfs7C33tjXHCICpRR8fHwQHByM+Ph4fPTRRygsLMSf//xn+Pj44OGHH4bT6USbNm2wZMkSPP/883j44Yd51KgXYm+9sKdZ2Ftv7GsOttYb+5qFvc3C3npjX7Owt77Y1oPU7lnxzXXq1CnJyMiQXbt2WdcTFhHJysqSH374wfp7Xl6eTJw4UT7++GO5cOGCFBUVSVpamsTGxkqLFi3kyJEj7th8+hXsaxb21hv7mqO81ldeG+mf//yn+Pr6yv/+9z/r/jfeeENsNpsEBgZKq1atrMfyekqejb31wp5mYW+9sa852Fpv7GsW9jYLe+uNfc3C3vpiW8/Gc+jWgvT0dHTr1g2dO3fGrbfein79+mH+/PkAgPbt26NBgwbWYxs3bozp06dj8ODBCAwMhL+/P2JjYzFx4kRkZ2djzZo17toNKgf7moW99ca+5iir9cKFCwH8dC0lEQEA9OvXDzabDf/5z38AAIWFhfD19UVAQAAuXbqEbt264ccffwQAHjHqwdhbL+xpFvbWG/uag631xr5mYW+zsLfe2Ncs7K0vtvUC7jkGwBz79u2T+vXrS506dWT48OHypz/9SXx9fUUpJW+88UaZz7nyiJOSkhIRETl8+LAopeTvf/97rWw3VQz7moW99ca+5rhe60WLFl312JycHAkPD5cpU6aIiMiCBQskJCRE4uLiZPHixeLv7y8DBw6Ub775xh27QhXA3nphT7Owt97Y1xxsrTf2NQt7m4W99ca+ZmFvfbGtd+Bi/A1UXFwso0aNEqWUJCcnW7evX79elFISHR19zT9qh8NR5s964403pH79+rJ+/XoR4SkiPAH7moW99ca+5qhK6xEjRkh0dLTMnTtXQkJCJDY2VoqLi0VEJCkpSRo2bCgnT56s1f2gimFvvbCnWdhbb+xrDrbWG/uahb3Nwt56Y1+zsLe+2NZ7cDH+BiooKJCoqCiJiYmxbnN9c3Ly5MmilJK1a9eW+dxXXnlF1qxZIxkZGTJ37lyJjIyU9u3bS25ubq1sO/069jULe+uNfc1RmdauAymmTp0qPj4+4u/vL3FxcdYHVNef+fn5tbkLVAnsrRf2NAt76419zcHWemNfs7C3Wdhbb+xrFvbWF9t6D14z/garU6cO6tSpg+LiYgCAj48PAKBHjx4AgKVLlwIAHA6H9Zy0tDS8+uqrSEhIQOfOnTFp0iQopfDhhx8iPDy8lveArod9zcLeemNfc1S0dWlpKQAgISEBTZo0Qfv27bFz5074+fmhpKQEfn5+AID69evX9i5QJbC3XtjTLOytN/Y1B1vrjX3Nwt5mYW+9sa9Z2FtfbOsdlIiIuzdCZ0OHDsWWLVtw7Nixq/4RX758GZ07d0bdunWxc+fOa56Xnp6OgwcP4tChQ4iOjsZtt92GZs2a1eamUwWwr1nYW2/sa47Ktr506RK+/PJL9OzZEz4+PigtLYWvr687Np2qgL31wp5mYW+9sa852Fpv7GsW9jYLe+uNfc3C3vpiW+/A/8M32Pjx4xETE3PVIHA6nVBKoVmzZvjqq69w6tQpNGvWDE6nEzbbTycriIuLQ1xcnLs2myqIfc3C3npjX3NUpnVpaSn8/f1x2223AQA/oHoh9tYLe5qFvfXGvuZga72xr1nY2yzsrTf2NQt764ttvQP/L9eQrKws7NixA3l5eWjTpg369OmDhg0bonfv3ujduzcAQESglILNZoPdbke3bt2wZcsW5ObmolmzZtbCTmZmJn73u9/Bbre7cY/oSuxrFvbWG/uaoyZauz6QZmZmok2bNtYpm8jzsLde2NMs7K039jUHW+uNfc3C3mZhb72xr1nYW19s6924GF8DMjIy0LdvX+u6DHa7HQ6HA9OnT8edd96Jli1blvm8pk2borS0FGfOnLFuW79+PR555BGMGDECc+bMqaU9oOthX7Owt97Y1xxsbRb21gt7moW99ca+5mBrvbGvWdjbLOytN/Y1C3vri201IFQtFy9elH79+kmLFi0kJSVFRES+/vprGTdunAQEBMjo0aNl165d1uOdTqc4HA4REUlJSRGllMyfP19ERD755BPp1KmTBAUFSUZGRu3vDF2Dfc3C3npjX3OwtVnYWy/saRb21hv7moOt9ca+ZmFvs7C33tjXLOytL7bVAxfjqykvL0+aN28uiYmJ19w3f/58ad26tfTu3Vs2bdpk3e50OkVEZP/+/WKz2WTmzJmyZcsW6dChg9SrV0/2799fa9tP18e+ZmFvvbGvOdjaLOytF/Y0C3vrjX3NwdZ6Y1+zsLdZ2Ftv7GsW9tYX2+qBi/HVdPr0aQkLC5P+/ftbt5WWllr//a9//UsiIyOlS5cusnnz5quem5mZKUopiYuLk6ioKKlbty4HgYdhX7Owt97Y1xxsbRb21gt7moW99ca+5mBrvbGvWdjbLOytN/Y1C3vri231wMX4aioqKpKYmBgJDw+XvXv3ioiIw+GwTgMhIvLBBx9IRESE3HHHHdZjRERyc3PlpptuEqWUhISEyL59+2p9++n62Ncs7K039jUHW5uFvfXCnmZhb72xrznYWm/saxb2Ngt76419zcLe+mJbPXAxvpK+++472bdvn+zfv19ycnJEROTNN98Um80mjz76qPU4h8NhnQpCRCQpKUmUUvLkk0/K5cuXrdu7dOkiSinJzMysvZ2gcrGvWdhbb+xrDrY2C3vrhT3Nwt56Y19zsLXe2Ncs7G0W9tYb+5qFvfXFtnriYnwlpKWlSevWrUUpJb6+vtKuXTvZtGmTFBUVyYABA0QpJbNnz7Ye/8ujU0aNGiWhoaFy9OhR67ZTp07JsWPHanM3qBzsaxb21hv7moOtzcLeemFPs7C33tjXHGytN/Y1C3ubhb31xr5mYW99sa2+uBhfQfv27ZP69euL3W6XhIQEGTp0qCilRCklX375pRw9elRiY2PFx8dHkpKSrOc5nU5rMCxatEiUUvL6669b95FnYF+zsLfe2NccbG0W9tYLe5qFvfXGvuZga72xr1nY2yzsrTf2NQt764tt9cbF+Aq4dOmSDBw4UJRSsmDBAuv2BQsWiFJKbrnlFikoKJBt27ZJly5dJCAgQF588cVrfs7WrVtFKSWvvfZabW4+/Qr2NQt76419zcHWZmFvvbCnWdhbb+xrDrbWG/uahb3Nwt56Y1+zsLe+2FZ/XIyvgIsXL0qLFi0kPj7+mvseeughsdlssnXrVhER2bZtm/Tv31+UUjJ69GhJTU2VM2fOyPnz52XYsGGilJItW7bU9i7QdbCvWdhbb+xrDrY2C3vrhT3Nwt56Y19zsLXe2Ncs7G0W9tYb+5qFvfXFtvrjYnwFFBYWSsuWLaV///7Wba7TPqxbt06UUjJ27FjrvqysLJkyZYrUr19ffHx8pGnTphIeHi5KKbn77rslLy+v1veByse+ZmFvvbGvOdjaLOytF/Y0C3vrjX3NwdZ6Y1+zsLdZ2Ftv7GsW9tYX2+pPiYiArqu0tBR9+/ZFTk4Odu/ejYYNG1r3nT59Gh07dkRcXBzWrVtn3e50OnH8+HEsWLAA2dnZqFOnDuLj4zFo0CCEh4e7YzeoHOxrFvbWG/uag63Nwt56YU+zsLfe2NccbK039jULe5uFvfXGvmZhb32xrf64GF9BK1euxJ49ezBz5kzrNofDAQDo2bMnTp06hd27d6NJkyZQSkEp5a5NpSpgX7Owt97Y1xxsbRb21gt7moW99ca+5mBrvbGvWdjbLOytN/Y1C3vri231ZnP3BniLYcOGWYPAdfyCj48PfHx8EBsbiwsXLqCkpAQ2m80aBEeOHMHZs2etn8HjHjwX+5qFvfXGvuZga7Owt17Y0yzsrTf2NQdb6419zcLeZmFvvbGvWdhbX2yrNy7GV4HrH7rT6QQANG/eHOfOncPx48etx6xduxaJiYlYsmSJ9TgeqeId2Ncs7K039jUHW5uFvfXCnmZhb72xrznYWm/saxb2Ngt76419zcLe+mJb/XAxvhpc/7BjYmIAAGfOnAEArF+/HlOnTkVWVhb69esHm43/m70R+5qFvfXGvuZga7Owt17Y0yzsrTf2NQdb6419zcLeZmFvvbGvWdhbX2yrD193b4A3cw2EkJAQAEB+fj62bNmCZ555BtnZ2dizZw86dOjgxi2k6mBfs7C33tjXHGxtFvbWC3uahb31xr7mYGu9sa9Z2Nss7K039jULe+uLbfXBxfgaEBQUBAB46623kJ+fj+zsbHzxxRccBJpgX7Owt97Y1xxsbRb21gt7moW99ca+5mBrvbGvWdjbLOytN/Y1C3vri229Hxfja0BYWBiaN2+OHTt2oF69evj88885CDTCvmZhb72xrznY2izsrRf2NAt76419zcHWemNfs7C3Wdhbb+xrFvbWF9t6Py7G1wB/f384nU4AwM6dOxEZGenmLaKaxL5mYW+9sa852Nos7K0X9jQLe+uNfc3B1npjX7Owt1nYW2/saxb21hfbej8lIuLujdDBwYMHoZRCu3bt3L0pdAOwr1nYW2/saw62Ngt764U9zcLeemNfc7C13tjXLOxtFvbWG/uahb31xbbejYvxRERERERERERERERERERENczm7g0gIiIiIiIiIiIiIiIiIiLSDRfjiYiIiIiIiIiIiIiIiIiIahgX44mIiIiIiIiIiIiIiIiIiGoYF+OJiIiIiIiIiIiIiIiIiIhqGBfjiYiIiIiIiIiIiIiIiIiIahgX44mIiIiIiIiIiIiIiIiIiGoYF+OJiIiIiIiIiIiIiIiIiIhqGBfjiYiIiIiIiIiIiIiIiIiIahgX44mIiIiIiIiIiIiIiIiIiGoYF+OJiIiIiIiIiIiIiIiIiIhqGBfjiYiIiIiIiIiIiIiIiIiIatj/AUAJiDwMzmAyAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 2500x1400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "demo.plot(\"upper\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table  border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1月</th>\n",
       "      <th>2月</th>\n",
       "      <th>3月</th>\n",
       "      <th>4月</th>\n",
       "      <th>5月</th>\n",
       "      <th>6月</th>\n",
       "      <th>7月</th>\n",
       "      <th>8月</th>\n",
       "      <th>9月</th>\n",
       "      <th>10月</th>\n",
       "      <th>11月</th>\n",
       "      <th>12月</th>\n",
       "      <th>年度总收益</th>\n",
       "      <th>月度胜率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FOF净值_2023</th>\n",
       "      <td></td>\n",
       "      <td>0.140%</td>\n",
       "      <td>0.490%</td>\n",
       "      <td>0.960%</td>\n",
       "      <td>0.750%</td>\n",
       "      <td>1.110%</td>\n",
       "      <td>0.110%</td>\n",
       "      <td>0.470%</td>\n",
       "      <td>0.820%</td>\n",
       "      <td>0.680%</td>\n",
       "      <td>-0.770%</td>\n",
       "      <td>0.910%</td>\n",
       "      <td>5.780%</td>\n",
       "      <td>91.670%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FOF净值_2024</th>\n",
       "      <td>1.140%</td>\n",
       "      <td>0.640%</td>\n",
       "      <td>1.540%</td>\n",
       "      <td>0.160%</td>\n",
       "      <td>0.890%</td>\n",
       "      <td>0.900%</td>\n",
       "      <td>0.630%</td>\n",
       "      <td>0.320%</td>\n",
       "      <td>0.240%</td>\n",
       "      <td>0.730%</td>\n",
       "      <td>1.180%</td>\n",
       "      <td></td>\n",
       "      <td>8.690%</td>\n",
       "      <td>100.000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                1月      2月      3月      4月      5月      6月      7月      8月  \\\n",
       "FOF净值_2023          0.140%  0.490%  0.960%  0.750%  1.110%  0.110%  0.470%   \n",
       "FOF净值_2024  1.140%  0.640%  1.540%  0.160%  0.890%  0.900%  0.630%  0.320%   \n",
       "\n",
       "                9月     10月      11月     12月   年度总收益      月度胜率  \n",
       "FOF净值_2023  0.820%  0.680%  -0.770%  0.910%  5.780%   91.670%  \n",
       "FOF净值_2024  0.240%  0.730%   1.180%          8.690%  100.000%  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# demo.monthly_rtn_df.to_csv(\n",
    "#     r\"C:\\Users\\Ouwei\\Desktop\\monthly_rtn.csv\", index=True, encoding=\"utf_8_sig\"\n",
    "# )\n",
    "demo.monthly_rtn_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table  border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>年化收益率</th>\n",
       "      <th>年化波动率</th>\n",
       "      <th>最大回撤</th>\n",
       "      <th>夏普比率</th>\n",
       "      <th>卡玛比率</th>\n",
       "      <th>开始日期</th>\n",
       "      <th>结束日期</th>\n",
       "      <th>持续天数</th>\n",
       "      <th>修复日期</th>\n",
       "      <th>修复天数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FOF净值</th>\n",
       "      <td>8.207%</td>\n",
       "      <td>2.711%</td>\n",
       "      <td>-1.755%</td>\n",
       "      <td>3.027</td>\n",
       "      <td>4.677564</td>\n",
       "      <td>2024-08-23</td>\n",
       "      <td>2024-09-27</td>\n",
       "      <td>35</td>\n",
       "      <td>2024-09-30</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        年化收益率   年化波动率     最大回撤   夏普比率      卡玛比率        开始日期        结束日期  持续天数  \\\n",
       "FOF净值  8.207%  2.711%  -1.755%  3.027  4.677564  2024-08-23  2024-09-27    35   \n",
       "\n",
       "             修复日期  修复天数  \n",
       "FOF净值  2024-09-30     3  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo.metrics_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table  border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>区间收益率</th>\n",
       "      <th>年化收益率</th>\n",
       "      <th>区间波动率</th>\n",
       "      <th>年化波动率</th>\n",
       "      <th>夏普比率</th>\n",
       "      <th>最大回撤</th>\n",
       "      <th>卡玛比率</th>\n",
       "      <th>begin_date</th>\n",
       "      <th>end_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FOF净值_1M</th>\n",
       "      <td>1.238%</td>\n",
       "      <td>13.652%</td>\n",
       "      <td>0.157%</td>\n",
       "      <td>1.130%</td>\n",
       "      <td>12.082</td>\n",
       "      <td>0.000%</td>\n",
       "      <td>inf</td>\n",
       "      <td>2024-11-01</td>\n",
       "      <td>2024-11-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FOF净值_3M</th>\n",
       "      <td>2.160%</td>\n",
       "      <td>8.259%</td>\n",
       "      <td>0.742%</td>\n",
       "      <td>5.352%</td>\n",
       "      <td>1.543</td>\n",
       "      <td>-1.635%</td>\n",
       "      <td>5.052911</td>\n",
       "      <td>2024-08-30</td>\n",
       "      <td>2024-11-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FOF净值_6M</th>\n",
       "      <td>4.062%</td>\n",
       "      <td>7.970%</td>\n",
       "      <td>0.534%</td>\n",
       "      <td>3.848%</td>\n",
       "      <td>2.071</td>\n",
       "      <td>-1.755%</td>\n",
       "      <td>4.542614</td>\n",
       "      <td>2024-05-31</td>\n",
       "      <td>2024-11-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FOF净值_12M</th>\n",
       "      <td>9.412%</td>\n",
       "      <td>9.412%</td>\n",
       "      <td>0.451%</td>\n",
       "      <td>3.255%</td>\n",
       "      <td>2.892</td>\n",
       "      <td>-1.755%</td>\n",
       "      <td>5.364476</td>\n",
       "      <td>2023-12-01</td>\n",
       "      <td>2024-11-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FOF净值_YTD</th>\n",
       "      <td>8.692%</td>\n",
       "      <td>9.449%</td>\n",
       "      <td>0.463%</td>\n",
       "      <td>3.341%</td>\n",
       "      <td>2.828</td>\n",
       "      <td>-1.755%</td>\n",
       "      <td>5.385679</td>\n",
       "      <td>2023-12-29</td>\n",
       "      <td>2024-11-29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            区间收益率    年化收益率   区间波动率   年化波动率    夏普比率     最大回撤      卡玛比率  \\\n",
       "FOF净值_1M   1.238%  13.652%  0.157%  1.130%  12.082   0.000%       inf   \n",
       "FOF净值_3M   2.160%   8.259%  0.742%  5.352%   1.543  -1.635%  5.052911   \n",
       "FOF净值_6M   4.062%   7.970%  0.534%  3.848%   2.071  -1.755%  4.542614   \n",
       "FOF净值_12M  9.412%   9.412%  0.451%  3.255%   2.892  -1.755%  5.364476   \n",
       "FOF净值_YTD  8.692%   9.449%  0.463%  3.341%   2.828  -1.755%  5.385679   \n",
       "\n",
       "           begin_date    end_date  \n",
       "FOF净值_1M   2024-11-01  2024-11-29  \n",
       "FOF净值_3M   2024-08-30  2024-11-29  \n",
       "FOF净值_6M   2024-05-31  2024-11-29  \n",
       "FOF净值_12M  2023-12-01  2024-11-29  \n",
       "FOF净值_YTD  2023-12-29  2024-11-29  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo.backword_analysis_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 自动生成index.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<generator object Path.rglob at 0x0000016DAF3FFCD0>\n"
     ]
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "\n",
    "def generate_index_html(folder_path: Path):\n",
    "    # 获取目录及其子目录中的所有 HTML 文件\n",
    "    html_files = folder_path.rglob(\"*.html\")\n",
    "    print(html_files)\n",
    "\n",
    "    # 创建一个新的 index.html 文件\n",
    "    with open(folder_path.joinpath(\"index.html\"), \"w\", encoding=\"utf-8\") as f:\n",
    "        f.write(\n",
    "            \"\"\"<html>\n",
    "<head>\n",
    "<meta charset=\"UTF-8\">\n",
    "<title>Value over Time</title>\n",
    "</head>\n",
    "<body>\"\"\"\n",
    "        )\n",
    "\n",
    "        # 创建一个集合来存储已经处理过的文件夹，避免重复创建链接\n",
    "        processed_folders = set()\n",
    "        # 为每个 HTML 文件创建一个链接\n",
    "        for html_file in html_files:\n",
    "            if html_file.name == \"index.html\":\n",
    "                continue\n",
    "            relative_path = html_file.relative_to(folder_path)\n",
    "            # 如果文件夹还没有被处理过，为文件夹创建一个链接\n",
    "            if html_file.parent not in processed_folders:\n",
    "                f.write(f\"<h2><a>{html_file.parent.name}</a></h2>\\n\")\n",
    "                processed_folders.add(html_file.parent)\n",
    "\n",
    "            # 创建HTML文件的链接\n",
    "            f.write(\n",
    "                f'<a href=\"{relative_path}\">{relative_path.name.replace(\"_nav_analysis\",\"\")}</a><br/>\\n'\n",
    "            )\n",
    "\n",
    "        f.write(\"</body>\\n</html>\")\n",
    "\n",
    "\n",
    "# 使用函数\n",
    "generate_index_html(Path(r\"C:\\Euclid_Jie\\barra\\submodule\\nav_analysis\\docs\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 双庆backword analysis 需求"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils import backword_analysis\n",
    "import pandas as pd\n",
    "\n",
    "nav_data = pd.read_excel(r\"C:\\Users\\Ouwei\\Desktop\\nav_data\\0829双庆\\nav_data.xlsx\")\n",
    "# 截取时间\n",
    "nav_data = nav_data[nav_data[\"日期\"] >= pd.to_datetime(\"2019-12-30\")]\n",
    "nav_data.set_index(\"日期\", inplace=True)\n",
    "nav_data = nav_data.ffill(limit_area=\"inside\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "out = pd.DataFrame()\n",
    "for name in nav_data.columns:\n",
    "    single_nav_data = nav_data[name].reset_index(drop=False)\n",
    "    single_nav_data = single_nav_data[~single_nav_data[name].isna()]\n",
    "    if len(single_nav_data) < 10:\n",
    "        continue\n",
    "    res = backword_analysis(\n",
    "        single_nav_data[name].values, single_nav_data[\"日期\"].values, freq=\"W\"\n",
    "    ).reset_index(drop=False)\n",
    "    res[\"产品\"] = name\n",
    "    out = pd.concat([out, res], axis=0)\n",
    "out[\"策略类型\"] = out[\"产品\"].apply(lambda x: x.split(\"_\")[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table align=\"center\"  border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>策略类型</th>\n",
       "      <th>产品</th>\n",
       "      <th>backword months</th>\n",
       "      <th>年化收益率</th>\n",
       "      <th>年化波动率</th>\n",
       "      <th>夏普比率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>期现套利</td>\n",
       "      <td>0_博普日添月益_期现套利</td>\n",
       "      <td>12M</td>\n",
       "      <td>8.483%</td>\n",
       "      <td>1.395%</td>\n",
       "      <td>6.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>期现套利</td>\n",
       "      <td>0_博普日添月益_期现套利</td>\n",
       "      <td>24M</td>\n",
       "      <td>6.714%</td>\n",
       "      <td>1.348%</td>\n",
       "      <td>4.980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>期现套利</td>\n",
       "      <td>0_博普日添月益_期现套利</td>\n",
       "      <td>36M</td>\n",
       "      <td>5.890%</td>\n",
       "      <td>1.717%</td>\n",
       "      <td>3.431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1000中性</td>\n",
       "      <td>0_麦迪生利锐联中性对冲1号_1000中性</td>\n",
       "      <td>12M</td>\n",
       "      <td>12.449%</td>\n",
       "      <td>5.925%</td>\n",
       "      <td>2.101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>500指增</td>\n",
       "      <td>0_超量子中证500增强2号_500指增</td>\n",
       "      <td>12M</td>\n",
       "      <td>-5.693%</td>\n",
       "      <td>24.438%</td>\n",
       "      <td>-0.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>可转债套利</td>\n",
       "      <td>2_悬铃稳健金选1号_可转债套利</td>\n",
       "      <td>12M</td>\n",
       "      <td>-2.845%</td>\n",
       "      <td>7.960%</td>\n",
       "      <td>-0.357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>指增</td>\n",
       "      <td>2_弈倍虎鲸_指增</td>\n",
       "      <td>12M</td>\n",
       "      <td>-13.005%</td>\n",
       "      <td>23.790%</td>\n",
       "      <td>-0.547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>指增</td>\n",
       "      <td>2_弈倍虎鲸_指增</td>\n",
       "      <td>24M</td>\n",
       "      <td>-10.528%</td>\n",
       "      <td>20.929%</td>\n",
       "      <td>-0.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>指增</td>\n",
       "      <td>2_弈倍虎鲸_指增</td>\n",
       "      <td>36M</td>\n",
       "      <td>-5.651%</td>\n",
       "      <td>19.902%</td>\n",
       "      <td>-0.284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>中性</td>\n",
       "      <td>2_弈倍专享2号_中性</td>\n",
       "      <td>12M</td>\n",
       "      <td>5.427%</td>\n",
       "      <td>6.563%</td>\n",
       "      <td>0.827</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>121 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      策略类型                     产品 backword months     年化收益率    年化波动率    夏普比率\n",
       "3     期现套利          0_博普日添月益_期现套利             12M    8.483%   1.395%   6.080\n",
       "4     期现套利          0_博普日添月益_期现套利             24M    6.714%   1.348%   4.980\n",
       "5     期现套利          0_博普日添月益_期现套利             36M    5.890%   1.717%   3.431\n",
       "3   1000中性  0_麦迪生利锐联中性对冲1号_1000中性             12M   12.449%   5.925%   2.101\n",
       "3    500指增   0_超量子中证500增强2号_500指增             12M   -5.693%  24.438%  -0.233\n",
       "..     ...                    ...             ...       ...      ...     ...\n",
       "3    可转债套利       2_悬铃稳健金选1号_可转债套利             12M   -2.845%   7.960%  -0.357\n",
       "3       指增              2_弈倍虎鲸_指增             12M  -13.005%  23.790%  -0.547\n",
       "4       指增              2_弈倍虎鲸_指增             24M  -10.528%  20.929%  -0.503\n",
       "5       指增              2_弈倍虎鲸_指增             36M   -5.651%  19.902%  -0.284\n",
       "3       中性            2_弈倍专享2号_中性             12M    5.427%   6.563%   0.827\n",
       "\n",
       "[121 rows x 6 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out = out[out[\"backword months\"].isin([\"12M\", \"24M\", \"36M\"])]\n",
    "out = out[\n",
    "    [\"策略类型\", \"产品\", \"backword months\", \"年化收益率\", \"年化波动率\", \"夏普比率\"]\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "year = 1\n",
    "res = pd.DataFrame()\n",
    "for i in [\"12M\", \"24M\", \"36M\"]:\n",
    "    data_i = out[out[\"backword months\"] == i]\n",
    "    data_i = data_i.drop(\"backword months\", axis=1)\n",
    "    data_i = data_i.rename(\n",
    "        {\n",
    "            \"年化收益率\": f\"过去{year}_年化收益率\",\n",
    "            \"年化波动率\": f\"过去{year}_年化波动率\",\n",
    "            \"夏普比率\": f\"过去{year}_夏普比率\",\n",
    "        },\n",
    "        axis=1,\n",
    "    )\n",
    "    year += 1\n",
    "    res = pd.concat([res, data_i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "year = 3\n",
    "data_i = out[out[\"backword months\"] == \"36M\"]\n",
    "data_i = data_i.drop(\"backword months\", axis=1)\n",
    "data_i = data_i.rename(\n",
    "    {\n",
    "        \"年化收益率\": f\"过去{year}_年化收益率\",\n",
    "        \"年化波动率\": f\"过去{year}_年化波动率\",\n",
    "        \"夏普比率\": f\"过去{year}_夏普比率\",\n",
    "    },\n",
    "    axis=1,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_3 = data_i.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = data_1.merge(data_2, on=[\"策略类型\", \"产品\"], how=\"left\")\n",
    "res = res.merge(data_3, on=[\"策略类型\", \"产品\"], how=\"left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "res.sort_values([\"策略类型\", \"产品\"]).to_csv(\n",
    "    r\"C:\\Users\\Ouwei\\Desktop\\res_backword_analysis.csv\",\n",
    "    index=False,\n",
    "    encoding=\"utf_8_sig\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "out.to_csv(\n",
    "    r\"C:\\Users\\Ouwei\\Desktop\\backword_analysis.csv\", index=False, encoding=\"utf-8-sig\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 多只对比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "正在加载HN500完整净值数据\n",
      "正在加载幻方500S数据\n",
      "正在加载九坤500B-SX1396数据\n",
      "正在加载宽德500S-SVN545数据\n",
      "正在加载衍复500S数据\n",
      "HN500完整净值，原始数据时间区间为：2019-12-30 - 2024-12-06\n",
      "幻方500S，原始数据时间区间为：2021-02-10 - 2024-11-29\n",
      "九坤500B-SX1396，原始数据时间区间为：2017-11-24 - 2024-11-29\n",
      "宽德500S-SVN545，原始数据时间区间为：2022-11-04 - 2024-11-29\n",
      "衍复500S，原始数据时间区间为：2022-07-08 - 2024-11-29\n",
      "本次统计时间区间为：2022-11-04 ~ 2024-11-29\n",
      "开始读取HN500完整净值净值数据\n",
      "原始数据时间区间为：2019-12-30 ~ 2024-12-06\n",
      "本次统计时间区间为：2022-11-04 ~ 2024-11-29\n",
      "开始读取幻方500S净值数据\n",
      "原始数据时间区间为：2021-02-10 ~ 2024-11-29\n",
      "本次统计时间区间为：2022-11-04 ~ 2024-11-29\n",
      "开始读取九坤500B-SX1396净值数据\n",
      "无法推断频率, 将自动转为周度\n",
      "原始数据时间区间为：2017-11-24 ~ 2024-11-29\n",
      "本次统计时间区间为：2022-11-04 ~ 2024-11-29\n",
      "开始读取宽德500S-SVN545净值数据\n",
      "原始数据时间区间为：2022-11-04 ~ 2024-11-29\n",
      "本次统计时间区间为：2022-11-04 ~ 2024-11-29\n",
      "开始读取衍复500S净值数据\n",
      "原始数据时间区间为：2022-07-08 ~ 2024-11-29\n",
      "本次统计时间区间为：2022-11-04 ~ 2024-11-29\n",
      "html路径为：C:\\Users\\Ouwei\\Desktop\\nav_data\\净值库1129\\按策略分\\500增强\\20221104_20241129_compare_nav_analysis.html\n"
     ]
    }
   ],
   "source": [
    "from compare_nav_analysis import NavAnalysisConfig, CompareNavAnalysis\n",
    "from pathlib import Path\n",
    "import numpy as np\n",
    "\n",
    "nav_analysis_config = NavAnalysisConfig(\n",
    "    bench_data_path=Path(r\"C:\\Euclid_Jie\\barra\\src\\nav_analysis\\index_data.csv\"),\n",
    "    nav_data_path=[\n",
    "        # Path(\n",
    "        #     r\"C:\\Users\\Ouwei\\Desktop\\nav_data\\六禾光辉岁月产品净值表.xlsx\"\n",
    "        # ),\n",
    "        # Path(\n",
    "        #     r\"C:\\Users\\Ouwei\\Desktop\\nav_data\\六禾致谦产品净值表.xlsx\"\n",
    "        # ),\n",
    "        # i\n",
    "        # for i in Path(\n",
    "        #     r\"C:\\Euclid_Jie\\barra\\src\\nav_analysis\\FOF\"\n",
    "        # ).rglob(\"*.xlsx\")\n",
    "    ],\n",
    "    # begin_date=np.datetime64(\"2024-01-01\"),\n",
    "    open_html=True,\n",
    "    benchmark=\"SHSE.000905\",\n",
    ")\n",
    "demo = CompareNavAnalysis(nav_analysis_config, strip_date=False)\n",
    "demo.anlysis()\n",
    "demo.export_html(save=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table  border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>年化收益率</th>\n",
       "      <th>年化波动率</th>\n",
       "      <th>最大回撤</th>\n",
       "      <th>夏普比率</th>\n",
       "      <th>卡玛比率</th>\n",
       "      <th>开始日期</th>\n",
       "      <th>结束日期</th>\n",
       "      <th>持续天数</th>\n",
       "      <th>修复日期</th>\n",
       "      <th>修复天数</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>辰元优选稳健</th>\n",
       "      <td>7.610%</td>\n",
       "      <td>1.088%</td>\n",
       "      <td>-0.289%</td>\n",
       "      <td>6.993</td>\n",
       "      <td>26.288913</td>\n",
       "      <td>2024-01-05</td>\n",
       "      <td>2024-01-12</td>\n",
       "      <td>7</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SVM785_爱凡哲AH多空1号</th>\n",
       "      <td>16.560%</td>\n",
       "      <td>4.127%</td>\n",
       "      <td>-0.570%</td>\n",
       "      <td>4.012</td>\n",
       "      <td>29.069844</td>\n",
       "      <td>2024-10-11</td>\n",
       "      <td>2024-10-18</td>\n",
       "      <td>7</td>\n",
       "      <td>2024-11-22</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>致达萬贝</th>\n",
       "      <td>64.760%</td>\n",
       "      <td>16.141%</td>\n",
       "      <td>-8.407%</td>\n",
       "      <td>4.012</td>\n",
       "      <td>7.702743</td>\n",
       "      <td>2024-03-22</td>\n",
       "      <td>2024-04-26</td>\n",
       "      <td>35</td>\n",
       "      <td>2024-08-02</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>泛涵正元2号</th>\n",
       "      <td>17.988%</td>\n",
       "      <td>5.785%</td>\n",
       "      <td>-0.689%</td>\n",
       "      <td>3.110</td>\n",
       "      <td>26.103100</td>\n",
       "      <td>2024-04-15</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>157</td>\n",
       "      <td>2024-09-27</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>富犇尊享稳进1号</th>\n",
       "      <td>12.127%</td>\n",
       "      <td>4.159%</td>\n",
       "      <td>-2.762%</td>\n",
       "      <td>2.916</td>\n",
       "      <td>4.389924</td>\n",
       "      <td>2024-08-30</td>\n",
       "      <td>2024-09-27</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>微观博易春枫</th>\n",
       "      <td>8.994%</td>\n",
       "      <td>4.187%</td>\n",
       "      <td>-2.347%</td>\n",
       "      <td>2.148</td>\n",
       "      <td>3.832252</td>\n",
       "      <td>2024-07-26</td>\n",
       "      <td>2024-09-27</td>\n",
       "      <td>63</td>\n",
       "      <td>2024-10-11</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>衍复春晓</th>\n",
       "      <td>5.981%</td>\n",
       "      <td>12.623%</td>\n",
       "      <td>-8.238%</td>\n",
       "      <td>0.474</td>\n",
       "      <td>0.725943</td>\n",
       "      <td>2024-01-26</td>\n",
       "      <td>2024-02-08</td>\n",
       "      <td>13</td>\n",
       "      <td>2024-03-29</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SB5534_金和至信稳健12号</th>\n",
       "      <td>8.348%</td>\n",
       "      <td>26.008%</td>\n",
       "      <td>-11.982%</td>\n",
       "      <td>0.321</td>\n",
       "      <td>0.696768</td>\n",
       "      <td>2024-10-08</td>\n",
       "      <td>2024-10-17</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    年化收益率    年化波动率      最大回撤   夏普比率       卡玛比率        开始日期  \\\n",
       "辰元优选稳健             7.610%   1.088%   -0.289%  6.993  26.288913  2024-01-05   \n",
       "SVM785_爱凡哲AH多空1号  16.560%   4.127%   -0.570%  4.012  29.069844  2024-10-11   \n",
       "致达萬贝              64.760%  16.141%   -8.407%  4.012   7.702743  2024-03-22   \n",
       "泛涵正元2号            17.988%   5.785%   -0.689%  3.110  26.103100  2024-04-15   \n",
       "富犇尊享稳进1号          12.127%   4.159%   -2.762%  2.916   4.389924  2024-08-30   \n",
       "微观博易春枫             8.994%   4.187%   -2.347%  2.148   3.832252  2024-07-26   \n",
       "衍复春晓               5.981%  12.623%   -8.238%  0.474   0.725943  2024-01-26   \n",
       "SB5534_金和至信稳健12号   8.348%  26.008%  -11.982%  0.321   0.696768  2024-10-08   \n",
       "\n",
       "                        结束日期  持续天数        修复日期  修复天数  \n",
       "辰元优选稳健            2024-01-12     7  2024-01-19   7.0  \n",
       "SVM785_爱凡哲AH多空1号  2024-10-18     7  2024-11-22  35.0  \n",
       "致达萬贝              2024-04-26    35  2024-08-02  98.0  \n",
       "泛涵正元2号            2024-09-19   157  2024-09-27   8.0  \n",
       "富犇尊享稳进1号          2024-09-27    28         NaN   NaN  \n",
       "微观博易春枫            2024-09-27    63  2024-10-11  14.0  \n",
       "衍复春晓              2024-02-08    13  2024-03-29  50.0  \n",
       "SB5534_金和至信稳健12号  2024-10-17     9         NaN   NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo.metrics_table.sort_values(by=\"夏普比率\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table  border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1月</th>\n",
       "      <th>2月</th>\n",
       "      <th>3月</th>\n",
       "      <th>4月</th>\n",
       "      <th>5月</th>\n",
       "      <th>6月</th>\n",
       "      <th>7月</th>\n",
       "      <th>8月</th>\n",
       "      <th>9月</th>\n",
       "      <th>10月</th>\n",
       "      <th>11月</th>\n",
       "      <th>年度总收益</th>\n",
       "      <th>月度胜率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SB5534_金和至信稳健12号_2024</th>\n",
       "      <td>0.800%</td>\n",
       "      <td>2.440%</td>\n",
       "      <td>-0.030%</td>\n",
       "      <td>0.460%</td>\n",
       "      <td>0.190%</td>\n",
       "      <td>0.140%</td>\n",
       "      <td>0.500%</td>\n",
       "      <td>0.280%</td>\n",
       "      <td>10.890%</td>\n",
       "      <td>-8.390%</td>\n",
       "      <td>0.490%</td>\n",
       "      <td>7.040%</td>\n",
       "      <td>83.330%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SVM785_爱凡哲AH多空1号_2024</th>\n",
       "      <td>2.940%</td>\n",
       "      <td>3.150%</td>\n",
       "      <td>1.010%</td>\n",
       "      <td>-0.330%</td>\n",
       "      <td>0.910%</td>\n",
       "      <td>0.870%</td>\n",
       "      <td>1.060%</td>\n",
       "      <td>0.690%</td>\n",
       "      <td>0.570%</td>\n",
       "      <td>2.480%</td>\n",
       "      <td>0.340%</td>\n",
       "      <td>14.520%</td>\n",
       "      <td>91.670%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>辰元优选稳健_2024</th>\n",
       "      <td>0.360%</td>\n",
       "      <td>0.440%</td>\n",
       "      <td>0.770%</td>\n",
       "      <td>0.690%</td>\n",
       "      <td>0.620%</td>\n",
       "      <td>0.660%</td>\n",
       "      <td>0.270%</td>\n",
       "      <td>0.770%</td>\n",
       "      <td>0.620%</td>\n",
       "      <td>0.790%</td>\n",
       "      <td>0.520%</td>\n",
       "      <td>6.700%</td>\n",
       "      <td>100.000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>泛涵正元2号_2024</th>\n",
       "      <td>0.740%</td>\n",
       "      <td>2.150%</td>\n",
       "      <td>0.530%</td>\n",
       "      <td>-0.100%</td>\n",
       "      <td>-0.060%</td>\n",
       "      <td>-0.180%</td>\n",
       "      <td>0.010%</td>\n",
       "      <td>-0.250%</td>\n",
       "      <td>3.500%</td>\n",
       "      <td>7.540%</td>\n",
       "      <td>0.520%</td>\n",
       "      <td>15.060%</td>\n",
       "      <td>66.670%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>富犇尊享稳进1号_2024</th>\n",
       "      <td>0.310%</td>\n",
       "      <td>0.310%</td>\n",
       "      <td>3.260%</td>\n",
       "      <td>1.380%</td>\n",
       "      <td>2.140%</td>\n",
       "      <td>1.520%</td>\n",
       "      <td>0.660%</td>\n",
       "      <td>1.210%</td>\n",
       "      <td>-2.760%</td>\n",
       "      <td>0.380%</td>\n",
       "      <td>1.890%</td>\n",
       "      <td>10.660%</td>\n",
       "      <td>91.670%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>微观博易春枫_2024</th>\n",
       "      <td>1.240%</td>\n",
       "      <td>2.540%</td>\n",
       "      <td>0.790%</td>\n",
       "      <td>-0.250%</td>\n",
       "      <td>0.950%</td>\n",
       "      <td>0.420%</td>\n",
       "      <td>0.390%</td>\n",
       "      <td>-0.730%</td>\n",
       "      <td>-0.930%</td>\n",
       "      <td>2.300%</td>\n",
       "      <td>0.980%</td>\n",
       "      <td>7.920%</td>\n",
       "      <td>75.000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>衍复春晓_2024</th>\n",
       "      <td>1.580%</td>\n",
       "      <td>-2.710%</td>\n",
       "      <td>2.900%</td>\n",
       "      <td>-1.510%</td>\n",
       "      <td>1.050%</td>\n",
       "      <td>1.940%</td>\n",
       "      <td>1.450%</td>\n",
       "      <td>-0.080%</td>\n",
       "      <td>-3.120%</td>\n",
       "      <td>2.300%</td>\n",
       "      <td>1.580%</td>\n",
       "      <td>5.270%</td>\n",
       "      <td>66.670%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>致达萬贝_2024</th>\n",
       "      <td>-0.820%</td>\n",
       "      <td>3.010%</td>\n",
       "      <td>3.950%</td>\n",
       "      <td>-5.500%</td>\n",
       "      <td>2.940%</td>\n",
       "      <td>1.690%</td>\n",
       "      <td>1.540%</td>\n",
       "      <td>3.410%</td>\n",
       "      <td>14.300%</td>\n",
       "      <td>11.760%</td>\n",
       "      <td>10.380%</td>\n",
       "      <td>55.540%</td>\n",
       "      <td>83.330%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            1月       2月       3月       4月       5月       6月  \\\n",
       "SB5534_金和至信稳健12号_2024   0.800%   2.440%  -0.030%   0.460%   0.190%   0.140%   \n",
       "SVM785_爱凡哲AH多空1号_2024   2.940%   3.150%   1.010%  -0.330%   0.910%   0.870%   \n",
       "辰元优选稳健_2024             0.360%   0.440%   0.770%   0.690%   0.620%   0.660%   \n",
       "泛涵正元2号_2024             0.740%   2.150%   0.530%  -0.100%  -0.060%  -0.180%   \n",
       "富犇尊享稳进1号_2024           0.310%   0.310%   3.260%   1.380%   2.140%   1.520%   \n",
       "微观博易春枫_2024             1.240%   2.540%   0.790%  -0.250%   0.950%   0.420%   \n",
       "衍复春晓_2024               1.580%  -2.710%   2.900%  -1.510%   1.050%   1.940%   \n",
       "致达萬贝_2024              -0.820%   3.010%   3.950%  -5.500%   2.940%   1.690%   \n",
       "\n",
       "                           7月       8月       9月      10月      11月    年度总收益  \\\n",
       "SB5534_金和至信稳健12号_2024  0.500%   0.280%  10.890%  -8.390%   0.490%   7.040%   \n",
       "SVM785_爱凡哲AH多空1号_2024  1.060%   0.690%   0.570%   2.480%   0.340%  14.520%   \n",
       "辰元优选稳健_2024            0.270%   0.770%   0.620%   0.790%   0.520%   6.700%   \n",
       "泛涵正元2号_2024            0.010%  -0.250%   3.500%   7.540%   0.520%  15.060%   \n",
       "富犇尊享稳进1号_2024          0.660%   1.210%  -2.760%   0.380%   1.890%  10.660%   \n",
       "微观博易春枫_2024            0.390%  -0.730%  -0.930%   2.300%   0.980%   7.920%   \n",
       "衍复春晓_2024              1.450%  -0.080%  -3.120%   2.300%   1.580%   5.270%   \n",
       "致达萬贝_2024              1.540%   3.410%  14.300%  11.760%  10.380%  55.540%   \n",
       "\n",
       "                           月度胜率  \n",
       "SB5534_金和至信稳健12号_2024   83.330%  \n",
       "SVM785_爱凡哲AH多空1号_2024   91.670%  \n",
       "辰元优选稳健_2024            100.000%  \n",
       "泛涵正元2号_2024             66.670%  \n",
       "富犇尊享稳进1号_2024           91.670%  \n",
       "微观博易春枫_2024             75.000%  \n",
       "衍复春晓_2024               66.670%  \n",
       "致达萬贝_2024               83.330%  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo.monthly_rtn_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "demo\n",
    "\n",
    "(1) C:\\Users\\Ouwei\\Desktop\\nav_data\\净值库1115\\按策略分\\500增强\\20221104_20241115_compare_nav_analysis.html\n",
    "\n",
    "(2) C:\\Users\\Ouwei\\Desktop\\nav_data\\净值库1115\\按策略分\\500增强\\20231124_20241115_compare_nav_analysis.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 超额相关性分析"
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  {
   "cell_type": "code",
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   "source": [
    "nav_df = demo.nav_df.copy()\n",
    "rtn_df = nav_df.pct_change().dropna()\n",
    "# rtn_df = rtn_df[[i for i in rtn_df.columns if \"超额\" in i]]\n",
    "# 使用plotly绘制热力图\n",
    "import plotly.express as px\n",
    "corr = rtn_df.corr()\n",
    "fig = px.imshow(corr)\n",
    "fig.update_layout(width=800, height=800)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr.to_csv(r\"C:\\Users\\Ouwei\\Desktop\\corr.csv\", index=True, encoding=\"utf_8_sig\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table  border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>corr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SB5534_金和至信稳健12号</th>\n",
       "      <td>0.065785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>辰元优选稳健</th>\n",
       "      <td>0.098488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>致达萬贝</th>\n",
       "      <td>0.126670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>富犇尊享稳进1号</th>\n",
       "      <td>0.132335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>衍复春晓</th>\n",
       "      <td>0.154933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SVM785_爱凡哲AH多空1号</th>\n",
       "      <td>0.258435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>泛涵正元2号</th>\n",
       "      <td>0.261367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>微观博易春枫</th>\n",
       "      <td>0.283389</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      corr\n",
       "SB5534_金和至信稳健12号  0.065785\n",
       "辰元优选稳健            0.098488\n",
       "致达萬贝              0.126670\n",
       "富犇尊享稳进1号          0.132335\n",
       "衍复春晓              0.154933\n",
       "SVM785_爱凡哲AH多空1号  0.258435\n",
       "泛涵正元2号            0.261367\n",
       "微观博易春枫            0.283389"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rtn_df.corr().mean().to_frame().rename(columns={0: \"corr\"}).sort_values(\n",
    "    \"corr\", ascending=True\n",
    ")"
   ]
  }
 ],
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